Summary
AI & Machine Learning
Energy
Financial Services
Life Sciences
Media & Entertainment
Product Design
Productivity & Development
Subsystem Scores
Workload Scores
Configuration
SPECworkstation® 4.0.0 Summary
Not An Official Submission Candidate
20 of 22 workloads produced scores
System Configuration
Manufacturer | Intel Corporation |
Model | Unknown |
CPU | 2x Intel(R) Xeon(R) Silver 4310 CPU @ 2.10GHz |
Memory | 256.00 GB @ 2666 MHz |
GPU | ASPEED Graphics Family(WDDM) |
Display | Unknown |
Storage | Drive 1: ST240FN0021 223.57 GB - IDE Drive 2: AVAGO MR9361-16i SCSI Disk Device 3575.93 GB - SCSI Drive 3: AVAGO MR9361-16i SCSI Disk Device 278.87 GB - SCSI Drive 4: ST240FN0021 223.57 GB - IDE |
OS | Microsoft Windows Server 2022 Standard (20348) |
Submission Details
Result Date | Thu Feb 27 2025 06:25:27 GMT-0800 (Pacific Standard Time) |
Submitter Company | |
Submitter Name | |
Submitter Comments |
Industry Vertical Scores
Financial Services |
1.42 |
Productivity & Development |
0.61 |
Hardware Subsystem Scores
CPU | 1.39 |
Storage | 0.23 |
Workload | SPEC Ratio |
---|---|
7-Zip | 0.58 |
Autodesk Inventor | 0.61 |
Blender | 1.64 |
Convolution | 1.31 |
Data Science | 1.13 |
Hidden Line Removal | 1.22 |
LAMMPS | 1.93 |
LLVM Clang | 1.38 |
LuxCoreRender | 1.59 |
MFEM | 1.25 |
NAMD | 1.37 |
Octave | 0.58 |
OpenFOAM | 10.50 |
Options Pricing | 1.42 |
Poisson | 2.58 |
Python 3 | 0.94 |
Rodinia CFD | 1.64 |
Rodinia Life Sciences | 1.40 |
SRMP | 1.28 |
WPCstorage | 0.23 |
Industry Vertical Scores
AI & Machine Learning | ||||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Data Science |
|
|||
Pandas | 131.99 |
181.80
|
sec |
0.73
|
Scikit-learn | 449.17 |
236.66
|
sec |
1.90
|
XGBoost | 91.50 |
87.72
|
sec |
1.04
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
27.86
|
ms |
2.29
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
37.66
|
inferences/sec |
2.05
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
12.93
|
ms |
1.73
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
110.40
|
inferences/sec |
2.37
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
48.19
|
ms |
1.21
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
53.86
|
inferences/sec |
2.58
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
19.47
|
ms |
1.10
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
112.09
|
inferences/sec |
2.00
|
Industry Vertical Scores
Energy | ||||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Convolution |
|
|||
20K/100 | 0.09 |
0.12
|
iterations/sec |
1.31
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
43.99
|
iterations/sec |
2.74
|
Jacobi Square Grid | 6.19 |
15.04
|
iterations/sec |
2.43
|
SRMP |
|
|||
2D | 19.45 |
15.21
|
sec |
1.28
|
WPCstorage |
|
|||
energy | 1547.93 |
148.72
|
points |
0.10
|
Industry Vertical Scores
Financial Services | 1.42 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
55749.06
|
options/sec |
1.59
|
Black-Scholes | 3389.63 |
5185.14
|
Moptions/sec |
1.53
|
Binomial | 79377.62 |
93577.00
|
options/sec |
1.18
|
Industry Vertical Scores
Life Sciences | ||||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
LAMMPS |
|
|||
LJ | 705.82 |
1283.26
|
tau/day |
1.82
|
CHAIN | 1190.35 |
3110.30
|
tau/day |
2.61
|
EAM | 0.63 |
1.03
|
ns/day |
1.64
|
CHUTE | 38.25 |
84.22
|
tau/day |
2.20
|
RHODO | 0.26 |
0.41
|
ns/day |
1.58
|
NAMD |
|
|||
apoa1 | 45.38 |
33.48
|
ms/step |
1.36
|
f1atpase | 130.50 |
98.80
|
ms/step |
1.32
|
stmv | 448.57 |
312.34
|
ms/step |
1.44
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
0.89
|
fps |
1.30
|
HotSpot | 8.55 |
5.73
|
sec |
1.49
|
LavaMD | 0.07 |
0.09
|
iterations/sec |
1.33
|
SRAD | 47.04 |
69.14
|
iterations/sec |
1.47
|
WPCstorage |
|
|||
namd | 1250.61 |
571.62
|
points |
0.46
|
Industry Vertical Scores
Media & Entertainment | ||||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Blender |
|
|||
Classroom | 281.72 |
63.65
|
sec |
4.43
|
BMW27 | 43.82 |
31.53
|
sec |
1.39
|
BMW1M | 17.74 |
12.17
|
sec |
1.46
|
Island | 29.68 |
36.54
|
sec |
0.81
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
171.67
|
sec |
1.14
|
x265 4K to 1080p | 38.36 |
42.96
|
sec |
0.89
|
x265 4K to 4K | 107.73 |
104.45
|
sec |
1.03
|
x264 1080p to 1080p | 49.98 |
14.38
|
sec |
3.48
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
4.17
|
Msamples/sec |
1.70
|
Food | 1.84 |
3.05
|
Msamples/sec |
1.66
|
Danish Mood | 2.29 |
3.22
|
Msamples/sec |
1.41
|
Procedural Leaves | 1.10 |
1.78
|
Msamples/sec |
1.62
|
WPCstorage |
|
|||
3dsmax | 3299.42 |
1058.19
|
points |
0.32
|
handbrake | 1897.99 |
277.10
|
points |
0.15
|
maya | 2037.06 |
494.85
|
points |
0.24
|
MayaVenice | 472.63 |
348.18
|
points |
0.74
|
MandE | 1625.72 |
829.05
|
points |
0.51
|
Industry Vertical Scores
Product Design | ||||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
6865.00
|
ms |
0.62
|
Create/Update Files | 4973.68 |
8737.00
|
ms |
0.57
|
Rebuild | 10590.28 |
17092.00
|
ms |
0.62
|
Render Style/Material | 628.78 |
970.00
|
ms |
0.65
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
29.55
|
fps |
1.22
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
182.49
|
sec |
1.25
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
76.26
|
sec |
10.50
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
226.07
|
iterations/sec |
1.64
|
WPCstorage |
|
|||
ccx | 1398.45 |
56.47
|
points |
0.04
|
cfd | 1921.51 |
117.81
|
points |
0.06
|
icePack | 1543.34 |
236.15
|
points |
0.15
|
mcad | 2612.50 |
1155.27
|
points |
0.44
|
proddev | 659.82 |
360.92
|
points |
0.55
|
Industry Vertical Scores
Productivity & Development | 0.61 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
27.53
|
sec |
0.58
|
Compression | 254.57 |
443.02
|
sec |
0.57
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
409.21
|
sec |
1.38
|
Octave |
|
|||
obench | 1.20 |
2.06
|
sec/operation |
0.58
|
benchmark2 | 0.11 |
0.19
|
sec/operation |
0.57
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.57
|
sec |
0.63
|
NumPy Add Matrix | 4.44 |
8.81
|
sec |
0.50
|
NumPy Multiply Matrix | 8.06 |
8.38
|
sec |
0.96
|
NumPy Invert Matrix | 15.53 |
15.26
|
sec |
1.02
|
NumPy Sin Matrix | 2.67 |
4.73
|
sec |
0.56
|
Multi-Matrix | 65.50 |
52.95
|
sec |
1.24
|
WPCstorage |
|
|||
7zip | 431.06 |
101.28
|
points |
0.23
|
mozillaVS | 7708.43 |
1826.35
|
points |
0.24
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|
1.39
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
27.53
|
sec |
0.58
|
Compression | 254.57 |
443.02
|
sec |
0.57
|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
6865.00
|
ms |
0.62
|
Create/Update Files | 4973.68 |
8737.00
|
ms |
0.57
|
Rebuild | 10590.28 |
17092.00
|
ms |
0.62
|
Render Style/Material | 628.78 |
970.00
|
ms |
0.65
|
Blender |
|
|||
Classroom | 281.72 |
63.65
|
sec |
4.43
|
BMW27 | 43.82 |
31.53
|
sec |
1.39
|
BMW1M | 17.74 |
12.17
|
sec |
1.46
|
Island | 29.68 |
36.54
|
sec |
0.81
|
Convolution |
|
|||
20K/100 | 0.09 |
0.12
|
iterations/sec |
1.31
|
Data Science |
|
|||
Pandas | 131.99 |
181.80
|
sec |
0.73
|
Scikit-learn | 449.17 |
236.66
|
sec |
1.90
|
XGBoost | 91.50 |
87.72
|
sec |
1.04
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
171.67
|
sec |
1.14
|
x265 4K to 1080p | 38.36 |
42.96
|
sec |
0.89
|
x265 4K to 4K | 107.73 |
104.45
|
sec |
1.03
|
x264 1080p to 1080p | 49.98 |
14.38
|
sec |
3.48
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
29.55
|
fps |
1.22
|
LAMMPS |
|
|||
LJ | 705.82 |
1283.26
|
tau/day |
1.82
|
CHAIN | 1190.35 |
3110.30
|
tau/day |
2.61
|
EAM | 0.63 |
1.03
|
ns/day |
1.64
|
CHUTE | 38.25 |
84.22
|
tau/day |
2.20
|
RHODO | 0.26 |
0.41
|
ns/day |
1.58
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
409.21
|
sec |
1.38
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
4.17
|
Msamples/sec |
1.70
|
Food | 1.84 |
3.05
|
Msamples/sec |
1.66
|
Danish Mood | 2.29 |
3.22
|
Msamples/sec |
1.41
|
Procedural Leaves | 1.10 |
1.78
|
Msamples/sec |
1.62
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
182.49
|
sec |
1.25
|
NAMD |
|
|||
apoa1 | 45.38 |
33.48
|
ms/step |
1.36
|
f1atpase | 130.50 |
98.80
|
ms/step |
1.32
|
stmv | 448.57 |
312.34
|
ms/step |
1.44
|
Octave |
|
|||
obench | 1.20 |
2.06
|
sec/operation |
0.58
|
benchmark2 | 0.11 |
0.19
|
sec/operation |
0.57
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
27.86
|
ms |
2.29
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
37.66
|
inferences/sec |
2.05
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
12.93
|
ms |
1.73
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
110.40
|
inferences/sec |
2.37
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
48.19
|
ms |
1.21
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
53.86
|
inferences/sec |
2.58
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
19.47
|
ms |
1.10
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
112.09
|
inferences/sec |
2.00
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
76.26
|
sec |
10.50
|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
55749.06
|
options/sec |
1.59
|
Black-Scholes | 3389.63 |
5185.14
|
Moptions/sec |
1.53
|
Binomial | 79377.62 |
93577.00
|
options/sec |
1.18
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
43.99
|
iterations/sec |
2.74
|
Jacobi Square Grid | 6.19 |
15.04
|
iterations/sec |
2.43
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.57
|
sec |
0.63
|
NumPy Add Matrix | 4.44 |
8.81
|
sec |
0.50
|
NumPy Multiply Matrix | 8.06 |
8.38
|
sec |
0.96
|
NumPy Invert Matrix | 15.53 |
15.26
|
sec |
1.02
|
NumPy Sin Matrix | 2.67 |
4.73
|
sec |
0.56
|
Multi-Matrix | 65.50 |
52.95
|
sec |
1.24
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
226.07
|
iterations/sec |
1.64
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
0.89
|
fps |
1.30
|
HotSpot | 8.55 |
5.73
|
sec |
1.49
|
LavaMD | 0.07 |
0.09
|
iterations/sec |
1.33
|
SRAD | 47.04 |
69.14
|
iterations/sec |
1.47
|
SRMP |
|
|||
2D | 19.45 |
15.21
|
sec |
1.28
|
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|
0.23
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
WPCstorage |
|
|||
3dsmax | 3299.42 |
1058.19
|
points |
0.32
|
7zip | 431.06 |
101.28
|
points |
0.23
|
ccx | 1398.45 |
56.47
|
points |
0.04
|
cfd | 1921.51 |
117.81
|
points |
0.06
|
energy | 1547.93 |
148.72
|
points |
0.10
|
handbrake | 1897.99 |
277.10
|
points |
0.15
|
icePack | 1543.34 |
236.15
|
points |
0.15
|
maya | 2037.06 |
494.85
|
points |
0.24
|
MayaVenice | 472.63 |
348.18
|
points |
0.74
|
MandE | 1625.72 |
829.05
|
points |
0.51
|
mcad | 2612.50 |
1155.27
|
points |
0.44
|
mozillaVS | 7708.43 |
1826.35
|
points |
0.24
|
namd | 1250.61 |
571.62
|
points |
0.46
|
proddev | 659.82 |
360.92
|
points |
0.55
|
Workload Scores
Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|---|---|
7-Zip | Feb 27, 2025, 6:25:27 AM PST |
0.58
|
||||
Decompression | 27.53 sec | 16.04 |
27.53
|
sec |
0.58
|
|
Compression | 443.02 sec | 254.57 |
443.02
|
sec |
0.57
|
|
Autodesk Inventor | Feb 27, 2025, 6:33:25 AM PST |
0.61
|
||||
Open Document | 7.17 sec | 4253.73 |
6865.00
|
ms |
0.62
|
|
Create/Update Files | 10.84 sec | 4973.68 |
8737.00
|
ms |
0.57
|
|
Rebuild | 17.39 sec | 10590.28 |
17092.00
|
ms |
0.62
|
|
Render Style/Material | 1.28 sec | 628.78 |
970.00
|
ms |
0.65
|
|
Blender | Feb 27, 2025, 6:35:07 AM PST |
1.64
|
||||
Classroom | 63.65 sec | 281.72 |
63.65
|
sec |
4.43
|
|
BMW27 | 31.53 sec | 43.82 |
31.53
|
sec |
1.39
|
|
BMW1M | 12.17 sec | 17.74 |
12.17
|
sec |
1.46
|
|
Island | 36.54 sec | 29.68 |
36.54
|
sec |
0.81
|
|
Convolution | Feb 27, 2025, 6:37:37 AM PST |
1.31
|
||||
20K/100 | 37.33 sec | 0.09 |
0.12
|
iterations/sec |
1.31
|
|
Data Science | Feb 27, 2025, 6:38:15 AM PST |
1.13
|
||||
Pandas | 202.59 sec | 131.99 |
181.80
|
sec |
0.73
|
|
Scikit-learn | 244.38 sec | 449.17 |
236.66
|
sec |
1.90
|
|
XGBoost | 126.12 sec | 91.50 |
87.72
|
sec |
1.04
|
|
HandBrake | Feb 27, 2025, 6:48:11 AM PST |
|
||||
SVT-AV1 8K to 4K | 171.67 sec | 195.16 |
171.67
|
sec |
1.14
|
|
x265 4K to 1080p | 45.00 sec | 38.36 |
42.96
|
sec |
0.89
|
|
x265 4K to 4K | 106.32 sec | 107.73 |
104.45
|
sec |
1.03
|
|
x264 1080p to 1080p | 14.38 sec | 49.98 |
14.38
|
sec |
3.48
|
|
Hidden Line Removal | Feb 27, 2025, 6:53:59 AM PST |
1.22
|
||||
Palatov | 20.73 sec | 24.29 |
29.55
|
fps |
1.22
|
|
Palatov | 19.38 sec | 24.29 |
23.55
|
fps |
0.97
|
|
LAMMPS | Feb 27, 2025, 6:54:40 AM PST |
1.93
|
||||
LJ | 11.89 sec | 705.82 |
1283.26
|
tau/day |
1.82
|
|
CHAIN | 8.85 sec | 1190.35 |
3110.30
|
tau/day |
2.61
|
|
EAM | 13.68 sec | 0.63 |
1.03
|
ns/day |
1.64
|
|
CHUTE | 5.59 sec | 38.25 |
84.22
|
tau/day |
2.20
|
|
RHODO | 7.21 sec | 0.26 |
0.41
|
ns/day |
1.58
|
|
LLVM Clang | Feb 27, 2025, 6:55:28 AM PST |
1.38
|
||||
PyTorch | 443.44 sec | 562.76 |
409.21
|
sec |
1.38
|
|
LuxCoreRender | Feb 27, 2025, 7:04:35 AM PST |
1.59
|
||||
DLSC | 13.19 sec | 2.46 |
4.17
|
Msamples/sec |
1.70
|
|
Food | 22.48 sec | 1.84 |
3.05
|
Msamples/sec |
1.66
|
|
Danish Mood | 47.39 sec | 2.29 |
3.22
|
Msamples/sec |
1.41
|
|
Procedural Leaves | 30.86 sec | 1.10 |
1.78
|
Msamples/sec |
1.62
|
|
MFEM | Feb 27, 2025, 7:06:29 AM PST |
1.25
|
||||
Dynamic AMR | 182.49 sec | 227.39 |
182.49
|
sec |
1.25
|
|
NAMD | Feb 27, 2025, 7:09:32 AM PST |
1.37
|
||||
apoa1 | 14.51 sec | 45.38 |
33.48
|
ms/step |
1.36
|
|
f1atpase | 22.98 sec | 130.50 |
98.80
|
ms/step |
1.32
|
|
stmv | 50.52 sec | 448.57 |
312.34
|
ms/step |
1.44
|
|
Octave | Feb 27, 2025, 7:11:01 AM PST |
0.58
|
||||
obench | 62.58 sec | 1.20 |
2.06
|
sec/operation |
0.58
|
|
benchmark2 | 13.15 sec | 0.11 |
0.19
|
sec/operation |
0.57
|
|
ONNX Inference | Feb 27, 2025, 7:12:34 AM PST |
|
||||
CPU ResNet50-FP32-batch8 Latency | 20.50 sec | 63.72 |
27.86
|
ms |
2.29
|
|
CPU ResNet50-FP32-batch8 Throughput | 21.51 sec | 18.33 |
37.66
|
inferences/sec |
2.05
|
|
CPU ResNet50-FP32-batch8 Throughput | 22.38 sec | 18.33 |
29.09
|
inferences/sec |
1.59
|
|
CPU ResNet50-INT8-batch8 Latency | 20.23 sec | 22.37 |
12.93
|
ms |
1.73
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.62 sec | 46.62 |
110.40
|
inferences/sec |
2.37
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.79 sec | 46.62 |
86.77
|
inferences/sec |
1.86
|
|
CPU SuperResolution-FP32-batch8 Latency | 20.22 sec | 58.42 |
48.19
|
ms |
1.21
|
|
CPU SuperResolution-FP32-batch8 Throughput | 21.05 sec | 20.87 |
53.86
|
inferences/sec |
2.58
|
|
CPU SuperResolution-FP32-batch8 Throughput | 21.73 sec | 20.87 |
42.88
|
inferences/sec |
2.05
|
|
CPU SuperResolution-INT8-batch8 Latency | 20.15 sec | 21.34 |
19.47
|
ms |
1.10
|
|
CPU SuperResolution-INT8-batch8 Throughput | 20.59 sec | 55.92 |
112.09
|
inferences/sec |
2.00
|
|
CPU SuperResolution-INT8-batch8 Throughput | 21.02 sec | 55.92 |
69.71
|
inferences/sec |
1.25
|
|
OpenFOAM | Feb 27, 2025, 7:16:46 AM PST |
10.50
|
||||
XiFoam Solver | 99.54 sec | 803.27 |
76.26
|
sec |
10.50
|
|
XiFoam Solver | 99.96 sec | 803.27 |
81.80
|
sec |
9.82
|
|
Options Pricing | Feb 27, 2025, 7:20:13 AM PST |
1.42
|
||||
Monte Carlo | 18.95 sec | 35137.48 |
55749.06
|
options/sec |
1.59
|
|
Black-Scholes | 15.13 sec | 3389.63 |
5185.14
|
Moptions/sec |
1.53
|
|
Binomial | 11.31 sec | 79377.62 |
93577.00
|
options/sec |
1.18
|
|
Poisson | Feb 27, 2025, 7:20:58 AM PST |
2.58
|
||||
Jacobi Rectangular Grid | 10.08 sec | 16.05 |
43.99
|
iterations/sec |
2.74
|
|
Jacobi Rectangular Grid | 10.09 sec | 16.05 |
33.23
|
iterations/sec |
2.07
|
|
Jacobi Square Grid | 10.14 sec | 6.19 |
15.04
|
iterations/sec |
2.43
|
|
Jacobi Square Grid | 10.12 sec | 6.19 |
12.19
|
iterations/sec |
1.97
|
|
Python 3 | Feb 27, 2025, 7:21:39 AM PST |
0.94
|
||||
NumPy Create Matrix | 4.54 sec | 0.36 |
0.57
|
sec |
0.63
|
|
NumPy Add Matrix | 10.10 sec | 4.44 |
8.81
|
sec |
0.50
|
|
NumPy Multiply Matrix | 9.91 sec | 8.06 |
8.38
|
sec |
0.96
|
|
NumPy Invert Matrix | 16.66 sec | 15.53 |
15.26
|
sec |
1.02
|
|
NumPy Sin Matrix | 6.26 sec | 2.67 |
4.73
|
sec |
0.56
|
|
Multi-Matrix | 54.27 sec | 65.50 |
52.95
|
sec |
1.24
|
|
Rodinia CFD | Feb 27, 2025, 7:23:35 AM PST |
1.64
|
||||
Pre-Euler | 34.93 sec | 138.14 |
226.07
|
iterations/sec |
1.64
|
|
Rodinia Life Sciences | Feb 27, 2025, 7:24:11 AM PST |
1.40
|
||||
Heart Wall | 10.32 sec | 0.69 |
0.89
|
fps |
1.30
|
|
HotSpot | 7.75 sec | 8.55 |
5.73
|
sec |
1.49
|
|
LavaMD | 11.30 sec | 0.07 |
0.09
|
iterations/sec |
1.33
|
|
SRAD | 10.39 sec | 47.04 |
69.14
|
iterations/sec |
1.47
|
|
SRMP | Feb 27, 2025, 7:24:51 AM PST |
1.28
|
||||
2D | 15.72 sec | 19.45 |
15.21
|
sec |
1.28
|
|
WPCstorage | Feb 27, 2025, 7:25:07 AM PST |
0.23
|
||||
3dsmax | 345.60 sec | 3299.42 |
1058.19
|
points |
0.32
|
|
7zip | 759.67 sec | 431.06 |
101.28
|
points |
0.23
|
|
ccx | 19.30 sec | 1398.45 |
56.47
|
points |
0.04
|
|
cfd | 29.61 sec | 1921.51 |
117.81
|
points |
0.06
|
|
energy | 157.34 sec | 1547.93 |
148.72
|
points |
0.10
|
|
handbrake | 69.32 sec | 1897.99 |
277.10
|
points |
0.15
|
|
icePack | 387.58 sec | 1543.34 |
236.15
|
points |
0.15
|
|
maya | 317.42 sec | 2037.06 |
494.85
|
points |
0.24
|
|
MayaVenice | 87.91 sec | 472.63 |
348.18
|
points |
0.74
|
|
MandE | 163.54 sec | 1625.72 |
829.05
|
points |
0.51
|
|
mcad | 351.08 sec | 2612.50 |
1155.27
|
points |
0.44
|
|
mozillaVS | 176.59 sec | 7708.43 |
1826.35
|
points |
0.24
|
|
namd | 59.47 sec | 1250.61 |
571.62
|
points |
0.46
|
|
proddev | 34.70 sec | 659.82 |
360.92
|
points |
0.55
|
System Configuration Details
MOTHERBOARD
Name: GEN3Model: Unknown
Version: B
Manufacturer: Intel Corporation
Serial Number: ............
BIOS: American Megatrends International, LLC. T2DM08.00
BIOS Version: ALASKA - 1072009 (2023-07-25)
PROCESSOR
CPU #1: Intel(R) Xeon(R) Silver 4310 CPU @ 2.10GHz (2095MHz / 12C / 24T)CPU #2: Intel(R) Xeon(R) Silver 4310 CPU @ 2.10GHz (2095MHz / 12C / 24T)
MEMORY
NODE 0 (CPU1_DIMM_A1): Samsung M393A2K40EB3-CWE (16.00 GB / 2666 MHz / DDR4)NODE 0 (CPU1_DIMM_B1): Samsung M393A2K40EB3-CWE (16.00 GB / 2666 MHz / DDR4)
NODE 1 (CPU1_DIMM_C1): Samsung M393A2K40EB3-CWE (16.00 GB / 2666 MHz / DDR4)
NODE 1 (CPU1_DIMM_D1): Samsung M393A2K40EB3-CWE (16.00 GB / 2666 MHz / DDR4)
NODE 2 (CPU1_DIMM_E1): Samsung M393A2K40EB3-CWE (16.00 GB / 2666 MHz / DDR4)
NODE 2 (CPU1_DIMM_F1): Samsung M393A2K40EB3-CWE (16.00 GB / 2666 MHz / DDR4)
NODE 3 (CPU1_DIMM_G1): Samsung M393A2K40EB3-CWE (16.00 GB / 2666 MHz / DDR4)
NODE 3 (CPU1_DIMM_H1): Samsung M393A2K40EB3-CWE (16.00 GB / 2666 MHz / DDR4)
NODE 4 (CPU2_DIMM_A1): Samsung M393A2K40EB3-CWE (16.00 GB / 2666 MHz / DDR4)
NODE 4 (CPU2_DIMM_B1): Samsung M393A2K40EB3-CWE (16.00 GB / 2666 MHz / DDR4)
NODE 5 (CPU2_DIMM_C1): Samsung M393A2K40EB3-CWE (16.00 GB / 2666 MHz / DDR4)
NODE 5 (CPU2_DIMM_D1): Samsung M393A2K40EB3-CWE (16.00 GB / 2666 MHz / DDR4)
NODE 6 (CPU2_DIMM_E1): Samsung M393A2K40EB3-CWE (16.00 GB / 2666 MHz / DDR4)
NODE 6 (CPU2_DIMM_F1): Samsung M393A2K40EB3-CWE (16.00 GB / 2666 MHz / DDR4)
NODE 7 (CPU2_DIMM_G1): Samsung M393A2K40EB3-CWE (16.00 GB / 2666 MHz / DDR4)
NODE 7 (CPU2_DIMM_H1): Samsung M393A2K40EB3-CWE (16.00 GB / 2666 MHz / DDR4)
Total Memory: 256.00 GB
STORAGE
Disk #1: ST240FN0021 (223.57 GB - IDE)Partition 1: GPT: System (0.10 GB)
Partition 2: GPT: Basic Data (222.76 GB)
Partition 3: GPT: Unknown (0.70 GB)
Disk #2: AVAGO MR9361-16i SCSI Disk Device (3575.93 GB - SCSI)
Partition 1: GPT: Basic Data (3575.92 GB)
Disk #3: AVAGO MR9361-16i SCSI Disk Device (278.87 GB - SCSI)
Partition 1: GPT: Basic Data (278.86 GB)
Disk #4: ST240FN0021 (223.57 GB - IDE)
Available Volumes
C: (): NTFS (157.37 GB of 222.76 GB Available)
D: (SSD): NTFS (3575.71 GB of 3575.92 GB Available)
E: (HDD): NTFS (278.76 GB of 278.86 GB Available)
NETWORK
Adapter #1: Intel(R) Ethernet Converged Network Adapter X710Type: Ethernet 802.3 | MAC: 6C:B3:11:60:18:16 | Speed: Not Connected
Adapter #2: Intel(R) I350 Gigabit Network Connection
Type: Ethernet 802.3 | MAC: 6C:B3:11:77:54:66 | Speed: Not Connected
Adapter #3: Intel(R) I350 Gigabit Network Connection #2
Type: Ethernet 802.3 | MAC: 6C:B3:11:77:54:67 | Speed: Not Connected
Adapter #4: Intel(R) I350 Gigabit Network Connection #3
Type: Ethernet 802.3 | MAC: 6C:B3:11:77:54:65 | Speed: Not Connected
Adapter #5: Intel(R) Ethernet Converged Network Adapter X710-2
Type: Ethernet 802.3 | MAC: 6C:B3:11:53:2B:30 | Speed: Not Connected
Adapter #6: Intel(R) I350 Gigabit Network Connection #4
Type: Ethernet 802.3 | MAC: 6C:B3:11:77:54:64 | Speed: 1000.00 Mbit
Adapter #7: Intel(R) Ethernet Converged Network Adapter X710-2 #2
Type: Ethernet 802.3 | MAC: 6C:B3:11:60:18:14 | Speed: Not Connected
Adapter #8: Intel(R) Ethernet Converged Network Adapter X710 #2
Type: Ethernet 802.3 | MAC: 6C:B3:11:53:2B:32 | Speed: Not Connected
GRAPHICS
Adapter #1: ASPEED Graphics Family(WDDM)Video Memory: 0.02 GB
Current Resolution: 1920x1080 @ 60 Hz (32-bit Color)
Driver Version: 9.0.10.115 (2024-08-25)
DISPLAY
No Physical Displays DetectedWindows Screens
Screen 1: 1920x1080 @ 32 bpp
OPERATING SYSTEM
Name: Microsoft Windows Server 2022 Standard 64-bitVersion: 10.0.20348.3207 (Release 2009)
Installation Date: 2025-02-18
Free Memory: 248.08 GB (Physical) | 275.14 GB (Virtual) | 27.84 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Best Performance
Virtualization Based Security (VBS): Not Running
Active Power Plan: High performance (8c5e7fda-e8bf-4a96-9a85-a6e23a8c635c)