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
19 of 21 workloads produced scores
System Configuration
| Manufacturer | Gooxi |
| Model | Server IRU Rock G2212IG6 |
| CPU | 2x Intel(R) Xeon(R) 6517P |
| Memory | 64.00 GB @ 5600 MHz |
| GPU | ASPEED Graphics Family(WDDM) |
| Display | Unknown |
| Storage | Drive 1: BROADCOM MR9560-16i SCSI Disk Device 3575.93 GB - SCSI Drive 2: BROADCOM MR9560-16i SCSI Disk Device 893.75 GB - SCSI |
| OS | Microsoft Windows Server 2025 Standard (26100) |
Submission Details
| Result Date | Tue Jan 06 2026 23:36:06 GMT+0300 (GMT+03:00) |
| Submitter Company | |
| Submitter Name | |
| Submitter Comments |
Industry Vertical Scores
Financial Services |
3.58 |
Hardware Subsystem Scores
| CPU | 2.00 |
| Workload | SPEC Ratio |
|---|---|
| 7-Zip | 0.66 |
| Autodesk Inventor | 0.68 |
| Blender | 3.00 |
| Convolution | 3.78 |
| Data Science | 1.20 |
| Hidden Line Removal | 0.82 |
| LAMMPS | 2.44 |
| LLVM Clang | 2.60 |
| LuxCoreRender | 3.19 |
| MFEM | 2.13 |
| NAMD | 2.96 |
| Octave | 0.81 |
| OpenFOAM | 9.19 |
| Options Pricing | 3.58 |
| Poisson | 2.27 |
| Python 3 | 1.06 |
| Rodinia CFD | 2.63 |
| Rodinia Life Sciences | 2.96 |
| SRMP | 2.07 |
Industry Vertical Scores
| AI & Machine Learning | ||||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Data Science |
|
|||
| Pandas | 131.99 |
155.24
|
sec |
0.85
|
| Scikit-learn | 449.17 |
213.14
|
sec |
2.11
|
| XGBoost | 91.50 |
95.66
|
sec |
0.96
|
| ONNX Inference |
|
|||
| CPU ResNet50-FP32-batch8 Latency | 63.72 |
18.32
|
ms |
3.48
|
| CPU ResNet50-FP32-batch8 Throughput | 18.33 |
44.80
|
inferences/sec |
2.44
|
| CPU ResNet50-INT8-batch8 Latency | 22.37 |
15.14
|
ms |
1.48
|
| CPU ResNet50-INT8-batch8 Throughput | 46.62 |
131.99
|
inferences/sec |
2.83
|
| CPU SuperResolution-FP32-batch8 Latency | 58.42 |
26.02
|
ms |
2.24
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
46.96
|
inferences/sec |
2.25
|
| CPU SuperResolution-INT8-batch8 Latency | 21.34 |
14.68
|
ms |
1.45
|
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
72.64
|
inferences/sec |
1.30
|
Industry Vertical Scores
| Energy | ||||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Convolution |
|
|||
| 20K/100 | 0.09 |
0.34
|
iterations/sec |
3.78
|
| Poisson |
|
|||
| Jacobi Rectangular Grid | 16.05 |
72.78
|
iterations/sec |
4.53
|
| Jacobi Square Grid | 6.19 |
7.05
|
iterations/sec |
1.14
|
| SRMP |
|
|||
| 2D | 19.45 |
9.39
|
sec |
2.07
|
Industry Vertical Scores
| Financial Services | 3.58 | |||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Options Pricing |
|
|||
| Monte Carlo | 35137.48 |
141599.00
|
options/sec |
4.03
|
| Black-Scholes | 3389.63 |
14628.00
|
Moptions/sec |
4.32
|
| Binomial | 79377.62 |
208860.82
|
options/sec |
2.63
|
Industry Vertical Scores
| Life Sciences | ||||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| LAMMPS |
|
|||
| LJ | 705.82 |
1999.20
|
tau/day |
2.83
|
| CHAIN | 1190.35 |
2636.22
|
tau/day |
2.21
|
| EAM | 0.63 |
1.90
|
ns/day |
3.02
|
| CHUTE | 38.25 |
49.18
|
tau/day |
1.29
|
| RHODO | 0.26 |
0.93
|
ns/day |
3.57
|
| NAMD |
|
|||
| apoa1 | 45.38 |
14.77
|
ms/step |
3.07
|
| f1atpase | 130.50 |
45.26
|
ms/step |
2.88
|
| stmv | 448.57 |
152.38
|
ms/step |
2.94
|
| Rodinia Life Sciences |
|
|||
| Heart Wall | 0.69 |
2.97
|
fps |
4.30
|
| HotSpot | 8.55 |
2.17
|
sec |
3.94
|
| LavaMD | 0.07 |
0.23
|
iterations/sec |
3.31
|
| SRAD | 47.04 |
64.54
|
iterations/sec |
1.37
|
Industry Vertical Scores
| Media & Entertainment | ||||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Blender |
|
|||
| Classroom | 281.72 |
27.11
|
sec |
10.40
|
| BMW27 | 43.82 |
13.49
|
sec |
3.25
|
| BMW1M | 17.74 |
5.57
|
sec |
3.19
|
| Island | 29.68 |
39.40
|
sec |
0.75
|
| HandBrake |
|
|||
| SVT-AV1 8K to 4K | 195.16 |
141.79
|
sec |
1.38
|
| x265 4K to 1080p | 38.36 |
25.68
|
sec |
1.49
|
| x265 4K to 4K | 107.73 |
61.80
|
sec |
1.74
|
| x264 1080p to 1080p | 49.98 |
14.27
|
sec |
3.50
|
| LuxCoreRender |
|
|||
| DLSC | 2.46 |
9.24
|
Msamples/sec |
3.76
|
| Food | 1.84 |
6.75
|
Msamples/sec |
3.67
|
| Danish Mood | 2.29 |
5.21
|
Msamples/sec |
2.28
|
| Procedural Leaves | 1.10 |
3.61
|
Msamples/sec |
3.28
|
Industry Vertical Scores
| Product Design | ||||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| Autodesk Inventor |
|
|||
| Open Document | 4253.73 |
5803.00
|
ms |
0.73
|
| Create/Update Files | 4973.68 |
9509.00
|
ms |
0.52
|
| Rebuild | 10590.28 |
13940.00
|
ms |
0.76
|
| Render Style/Material | 628.78 |
859.00
|
ms |
0.73
|
| Hidden Line Removal |
|
|||
| Palatov | 24.29 |
20.00
|
fps |
0.82
|
| MFEM |
|
|||
| Dynamic AMR | 227.39 |
106.93
|
sec |
2.13
|
| OpenFOAM |
|
|||
| XiFoam Solver | 803.27 |
87.36
|
sec |
9.19
|
| Rodinia CFD |
|
|||
| Pre-Euler | 138.14 |
363.17
|
iterations/sec |
2.63
|
Industry Vertical Scores
| Productivity & Development | ||||
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| 7-Zip |
|
|||
| Decompression | 16.04 |
29.49
|
sec |
0.54
|
| Compression | 254.57 |
356.18
|
sec |
0.71
|
| LLVM Clang |
|
|||
| PyTorch | 562.76 |
216.50
|
sec |
2.60
|
| Octave |
|
|||
| obench | 1.20 |
1.48
|
sec/operation |
0.81
|
| benchmark2 | 0.11 |
0.14
|
sec/operation |
0.81
|
| Python 3 |
|
|||
| NumPy Create Matrix | 0.36 |
0.62
|
sec |
0.58
|
| NumPy Add Matrix | 4.44 |
6.33
|
sec |
0.70
|
| NumPy Multiply Matrix | 8.06 |
6.92
|
sec |
1.16
|
| NumPy Invert Matrix | 15.53 |
15.25
|
sec |
1.02
|
| NumPy Sin Matrix | 2.67 |
3.44
|
sec |
0.78
|
| Multi-Matrix | 65.50 |
47.72
|
sec |
1.37
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|
2.00
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|
| 7-Zip |
|
|||
| Decompression | 16.04 |
29.49
|
sec |
0.54
|
| Compression | 254.57 |
356.18
|
sec |
0.71
|
| Autodesk Inventor |
|
|||
| Open Document | 4253.73 |
5803.00
|
ms |
0.73
|
| Create/Update Files | 4973.68 |
9509.00
|
ms |
0.52
|
| Rebuild | 10590.28 |
13940.00
|
ms |
0.76
|
| Render Style/Material | 628.78 |
859.00
|
ms |
0.73
|
| Blender |
|
|||
| Classroom | 281.72 |
27.11
|
sec |
10.40
|
| BMW27 | 43.82 |
13.49
|
sec |
3.25
|
| BMW1M | 17.74 |
5.57
|
sec |
3.19
|
| Island | 29.68 |
39.40
|
sec |
0.75
|
| Convolution |
|
|||
| 20K/100 | 0.09 |
0.34
|
iterations/sec |
3.78
|
| Data Science |
|
|||
| Pandas | 131.99 |
155.24
|
sec |
0.85
|
| Scikit-learn | 449.17 |
213.14
|
sec |
2.11
|
| XGBoost | 91.50 |
95.66
|
sec |
0.96
|
| HandBrake |
|
|||
| SVT-AV1 8K to 4K | 195.16 |
141.79
|
sec |
1.38
|
| x265 4K to 1080p | 38.36 |
25.68
|
sec |
1.49
|
| x265 4K to 4K | 107.73 |
61.80
|
sec |
1.74
|
| x264 1080p to 1080p | 49.98 |
14.27
|
sec |
3.50
|
| Hidden Line Removal |
|
|||
| Palatov | 24.29 |
20.00
|
fps |
0.82
|
| LAMMPS |
|
|||
| LJ | 705.82 |
1999.20
|
tau/day |
2.83
|
| CHAIN | 1190.35 |
2636.22
|
tau/day |
2.21
|
| EAM | 0.63 |
1.90
|
ns/day |
3.02
|
| CHUTE | 38.25 |
49.18
|
tau/day |
1.29
|
| RHODO | 0.26 |
0.93
|
ns/day |
3.57
|
| LLVM Clang |
|
|||
| PyTorch | 562.76 |
216.50
|
sec |
2.60
|
| LuxCoreRender |
|
|||
| DLSC | 2.46 |
9.24
|
Msamples/sec |
3.76
|
| Food | 1.84 |
6.75
|
Msamples/sec |
3.67
|
| Danish Mood | 2.29 |
5.21
|
Msamples/sec |
2.28
|
| Procedural Leaves | 1.10 |
3.61
|
Msamples/sec |
3.28
|
| MFEM |
|
|||
| Dynamic AMR | 227.39 |
106.93
|
sec |
2.13
|
| NAMD |
|
|||
| apoa1 | 45.38 |
14.77
|
ms/step |
3.07
|
| f1atpase | 130.50 |
45.26
|
ms/step |
2.88
|
| stmv | 448.57 |
152.38
|
ms/step |
2.94
|
| Octave |
|
|||
| obench | 1.20 |
1.48
|
sec/operation |
0.81
|
| benchmark2 | 0.11 |
0.14
|
sec/operation |
0.81
|
| ONNX Inference |
|
|||
| CPU ResNet50-FP32-batch8 Latency | 63.72 |
18.32
|
ms |
3.48
|
| CPU ResNet50-FP32-batch8 Throughput | 18.33 |
44.80
|
inferences/sec |
2.44
|
| CPU ResNet50-INT8-batch8 Latency | 22.37 |
15.14
|
ms |
1.48
|
| CPU ResNet50-INT8-batch8 Throughput | 46.62 |
131.99
|
inferences/sec |
2.83
|
| CPU SuperResolution-FP32-batch8 Latency | 58.42 |
26.02
|
ms |
2.24
|
| CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
46.96
|
inferences/sec |
2.25
|
| CPU SuperResolution-INT8-batch8 Latency | 21.34 |
14.68
|
ms |
1.45
|
| CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
72.64
|
inferences/sec |
1.30
|
| OpenFOAM |
|
|||
| XiFoam Solver | 803.27 |
87.36
|
sec |
9.19
|
| Options Pricing |
|
|||
| Monte Carlo | 35137.48 |
141599.00
|
options/sec |
4.03
|
| Black-Scholes | 3389.63 |
14628.00
|
Moptions/sec |
4.32
|
| Binomial | 79377.62 |
208860.82
|
options/sec |
2.63
|
| Poisson |
|
|||
| Jacobi Rectangular Grid | 16.05 |
72.78
|
iterations/sec |
4.53
|
| Jacobi Square Grid | 6.19 |
7.05
|
iterations/sec |
1.14
|
| Python 3 |
|
|||
| NumPy Create Matrix | 0.36 |
0.62
|
sec |
0.58
|
| NumPy Add Matrix | 4.44 |
6.33
|
sec |
0.70
|
| NumPy Multiply Matrix | 8.06 |
6.92
|
sec |
1.16
|
| NumPy Invert Matrix | 15.53 |
15.25
|
sec |
1.02
|
| NumPy Sin Matrix | 2.67 |
3.44
|
sec |
0.78
|
| Multi-Matrix | 65.50 |
47.72
|
sec |
1.37
|
| Rodinia CFD |
|
|||
| Pre-Euler | 138.14 |
363.17
|
iterations/sec |
2.63
|
| Rodinia Life Sciences |
|
|||
| Heart Wall | 0.69 |
2.97
|
fps |
4.30
|
| HotSpot | 8.55 |
2.17
|
sec |
3.94
|
| LavaMD | 0.07 |
0.23
|
iterations/sec |
3.31
|
| SRAD | 47.04 |
64.54
|
iterations/sec |
1.37
|
| SRMP |
|
|||
| 2D | 19.45 |
9.39
|
sec |
2.07
|
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|
| Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|
Workload Scores
| Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
|---|---|---|---|---|---|---|
| 7-Zip | Jan 6, 2026, 11:36:06 PM GMT+3 |
0.66
|
||||
| Decompression | 29.49 sec | 16.04 |
29.49
|
sec |
0.54
|
|
| Compression | 356.18 sec | 254.57 |
356.18
|
sec |
0.71
|
|
| Autodesk Inventor | Jan 6, 2026, 11:42:41 PM GMT+3 |
0.68
|
||||
| Open Document | 6.12 sec | 4253.73 |
5803.00
|
ms |
0.73
|
|
| Create/Update Files | 11.63 sec | 4973.68 |
9509.00
|
ms |
0.52
|
|
| Rebuild | 14.22 sec | 10590.28 |
13940.00
|
ms |
0.76
|
|
| Render Style/Material | 1.21 sec | 628.78 |
859.00
|
ms |
0.73
|
|
| Blender | Jan 6, 2026, 11:44:15 PM GMT+3 |
3.00
|
||||
| Classroom | 27.11 sec | 281.72 |
27.11
|
sec |
10.40
|
|
| BMW27 | 13.49 sec | 43.82 |
13.49
|
sec |
3.25
|
|
| BMW1M | 5.57 sec | 17.74 |
5.57
|
sec |
3.19
|
|
| Island | 39.40 sec | 29.68 |
39.40
|
sec |
0.75
|
|
| Convolution | Jan 6, 2026, 11:45:49 PM GMT+3 |
3.78
|
||||
| 20K/100 | 35.11 sec | 0.09 |
0.34
|
iterations/sec |
3.78
|
|
| Data Science | Jan 6, 2026, 11:46:26 PM GMT+3 |
1.20
|
||||
| Pandas | 171.77 sec | 131.99 |
155.24
|
sec |
0.85
|
|
| Scikit-learn | 219.22 sec | 449.17 |
213.14
|
sec |
2.11
|
|
| XGBoost | 122.61 sec | 91.50 |
95.66
|
sec |
0.96
|
|
| HandBrake | Jan 6, 2026, 11:55:24 PM GMT+3 |
|
||||
| SVT-AV1 8K to 4K | 141.79 sec | 195.16 |
141.79
|
sec |
1.38
|
|
| x265 4K to 1080p | 27.39 sec | 38.36 |
25.68
|
sec |
1.49
|
|
| x265 4K to 4K | 63.55 sec | 107.73 |
61.80
|
sec |
1.74
|
|
| x264 1080p to 1080p | 14.27 sec | 49.98 |
14.27
|
sec |
3.50
|
|
| Hidden Line Removal | Jan 6, 2026, 11:59:42 PM GMT+3 |
0.82
|
||||
| Palatov | 23.98 sec | 24.29 |
20.00
|
fps |
0.82
|
|
| Palatov | 19.86 sec | 24.29 |
20.00
|
fps |
0.82
|
|
| LAMMPS | Jan 7, 2026, 12:00:29 AM GMT+3 |
2.44
|
||||
| LJ | 8.29 sec | 705.82 |
1999.20
|
tau/day |
2.83
|
|
| CHAIN | 10.54 sec | 1190.35 |
2636.22
|
tau/day |
2.21
|
|
| EAM | 8.08 sec | 0.63 |
1.90
|
ns/day |
3.02
|
|
| CHUTE | 8.80 sec | 38.25 |
49.18
|
tau/day |
1.29
|
|
| RHODO | 4.87 sec | 0.26 |
0.93
|
ns/day |
3.57
|
|
| LLVM Clang | Jan 7, 2026, 12:01:12 AM GMT+3 |
2.60
|
||||
| PyTorch | 246.30 sec | 562.76 |
216.50
|
sec |
2.60
|
|
| LuxCoreRender | Jan 7, 2026, 12:07:15 AM GMT+3 |
3.19
|
||||
| DLSC | 7.00 sec | 2.46 |
9.24
|
Msamples/sec |
3.76
|
|
| Food | 14.61 sec | 1.84 |
6.75
|
Msamples/sec |
3.67
|
|
| Danish Mood | 30.62 sec | 2.29 |
5.21
|
Msamples/sec |
2.28
|
|
| Procedural Leaves | 16.17 sec | 1.10 |
3.61
|
Msamples/sec |
3.28
|
|
| MFEM | Jan 7, 2026, 12:08:26 AM GMT+3 |
2.13
|
||||
| Dynamic AMR | 106.93 sec | 227.39 |
106.93
|
sec |
2.13
|
|
| NAMD | Jan 7, 2026, 12:10:16 AM GMT+3 |
2.96
|
||||
| apoa1 | 11.12 sec | 45.38 |
14.77
|
ms/step |
3.07
|
|
| f1atpase | 18.84 sec | 130.50 |
45.26
|
ms/step |
2.88
|
|
| stmv | 40.75 sec | 448.57 |
152.38
|
ms/step |
2.94
|
|
| Octave | Jan 7, 2026, 12:11:29 AM GMT+3 |
0.81
|
||||
| obench | 47.54 sec | 1.20 |
1.48
|
sec/operation |
0.81
|
|
| benchmark2 | 11.16 sec | 0.11 |
0.14
|
sec/operation |
0.81
|
|
| ONNX Inference | Jan 7, 2026, 12:12:48 AM GMT+3 |
|
||||
| CPU ResNet50-FP32-batch8 Latency | 20.55 sec | 63.72 |
18.32
|
ms |
3.48
|
|
| CPU ResNet50-FP32-batch8 Throughput | 21.63 sec | 18.33 |
44.80
|
inferences/sec |
2.44
|
|
| CPU ResNet50-FP32-batch8 Throughput | 22.61 sec | 18.33 |
31.00
|
inferences/sec |
1.69
|
|
| CPU ResNet50-INT8-batch8 Latency | 20.26 sec | 22.37 |
15.14
|
ms |
1.48
|
|
| CPU ResNet50-INT8-batch8 Throughput | 20.69 sec | 46.62 |
131.99
|
inferences/sec |
2.83
|
|
| CPU ResNet50-INT8-batch8 Throughput | 21.01 sec | 46.62 |
92.21
|
inferences/sec |
1.98
|
|
| CPU SuperResolution-FP32-batch8 Latency | 20.21 sec | 58.42 |
26.02
|
ms |
2.24
|
|
| CPU SuperResolution-FP32-batch8 Throughput | 21.79 sec | 20.87 |
46.96
|
inferences/sec |
2.25
|
|
| CPU SuperResolution-FP32-batch8 Throughput | 22.80 sec | 20.87 |
28.86
|
inferences/sec |
1.38
|
|
| CPU SuperResolution-INT8-batch8 Latency | 20.23 sec | 21.34 |
14.68
|
ms |
1.45
|
|
| CPU SuperResolution-INT8-batch8 Throughput | 21.20 sec | 55.92 |
72.64
|
inferences/sec |
1.30
|
|
| CPU SuperResolution-INT8-batch8 Throughput | 21.35 sec | 55.92 |
47.01
|
inferences/sec |
0.84
|
|
| OpenFOAM | Jan 7, 2026, 12:17:06 AM GMT+3 |
9.19
|
||||
| XiFoam Solver | 109.15 sec | 803.27 |
87.36
|
sec |
9.19
|
|
| XiFoam Solver | 114.95 sec | 803.27 |
99.27
|
sec |
8.09
|
|
| Options Pricing | Jan 7, 2026, 12:20:59 AM GMT+3 |
3.58
|
||||
| Monte Carlo | 7.52 sec | 35137.48 |
141599.00
|
options/sec |
4.03
|
|
| Black-Scholes | 6.25 sec | 3389.63 |
14628.00
|
Moptions/sec |
4.32
|
|
| Binomial | 5.12 sec | 79377.62 |
208860.82
|
options/sec |
2.63
|
|
| Poisson | Jan 7, 2026, 12:21:20 AM GMT+3 |
2.27
|
||||
| Jacobi Rectangular Grid | 10.09 sec | 16.05 |
72.78
|
iterations/sec |
4.53
|
|
| Jacobi Rectangular Grid | 10.13 sec | 16.05 |
16.36
|
iterations/sec |
1.02
|
|
| Jacobi Square Grid | 10.25 sec | 6.19 |
7.05
|
iterations/sec |
1.14
|
|
| Jacobi Square Grid | 10.28 sec | 6.19 |
4.79
|
iterations/sec |
0.77
|
|
| Python 3 | Jan 7, 2026, 12:22:03 AM GMT+3 |
1.06
|
||||
| NumPy Create Matrix | 3.46 sec | 0.36 |
0.62
|
sec |
0.58
|
|
| NumPy Add Matrix | 7.48 sec | 4.44 |
6.33
|
sec |
0.70
|
|
| NumPy Multiply Matrix | 8.17 sec | 8.06 |
6.92
|
sec |
1.16
|
|
| NumPy Invert Matrix | 16.49 sec | 15.53 |
15.25
|
sec |
1.02
|
|
| NumPy Sin Matrix | 4.63 sec | 2.67 |
3.44
|
sec |
0.78
|
|
| Multi-Matrix | 49.00 sec | 65.50 |
47.72
|
sec |
1.37
|
|
| Rodinia CFD | Jan 7, 2026, 12:23:50 AM GMT+3 |
2.63
|
||||
| Pre-Euler | 33.50 sec | 138.14 |
363.17
|
iterations/sec |
2.63
|
|
| Rodinia Life Sciences | Jan 7, 2026, 12:24:25 AM GMT+3 |
2.96
|
||||
| Heart Wall | 10.47 sec | 0.69 |
2.97
|
fps |
4.30
|
|
| HotSpot | 3.55 sec | 8.55 |
2.17
|
sec |
3.94
|
|
| LavaMD | 13.37 sec | 0.07 |
0.23
|
iterations/sec |
3.31
|
|
| SRAD | 10.28 sec | 47.04 |
64.54
|
iterations/sec |
1.37
|
|
| SRMP | Jan 7, 2026, 12:25:06 AM GMT+3 |
2.07
|
||||
| 2D | 10.44 sec | 19.45 |
9.39
|
sec |
2.07
|
System Configuration Details
MOTHERBOARD
Name: G5DEL-B PCBAModel: Server IRU Rock G2212IG6
Version: To be filled by O.E.M.
Manufacturer: Gooxi
Serial Number: 250427072130358401
BIOS: American Megatrends International, LLC. 03.29.00.01.00000
BIOS Version: ALASKA - 1072009 (2025-09-12)
PROCESSOR
CPU #1: Intel(R) Xeon(R) 6517P (3200MHz / 16C / 32T)CPU #2: Intel(R) Xeon(R) 6517P (3200MHz / 16C / 32T)
MEMORY
BANK 0 (CPU0_DIMM_A0): Samsung M321R4GA0PB0-CWMXJ (32.00 GB / 5600 MHz / DDR5)BANK 8 (CPU1_DIMM_A0): Samsung M321R4GA0PB0-CWMXJ (32.00 GB / 5600 MHz / DDR5)
Total Memory: 64.00 GB
STORAGE
Disk #1: BROADCOM MR9560-16i SCSI Disk Device (3575.93 GB - SCSI)Partition 1: GPT: Basic Data (3575.92 GB)
Disk #2: BROADCOM MR9560-16i SCSI Disk Device (893.75 GB - SCSI)
Partition 1: GPT: System (0.20 GB)
Partition 2: GPT: Basic Data (892.77 GB)
Partition 3: GPT: Unknown (0.76 GB)
Available Volumes
C: (): NTFS (842.24 GB of 892.77 GB Available)
G: (DATA): NTFS (3575.71 GB of 3575.92 GB Available)
NETWORK
Adapter #1: Intel(R) I350 Gigabit Network ConnectionType: Ethernet 802.3 | MAC: 6C:B3:11:83:38:B5 | Speed: 1000.00 Mbit
Adapter #2: Intel(R) I350 Gigabit Network Connection #2
Type: Ethernet 802.3 | MAC: 6C:B3:11:83:38:B4 | 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: 9.0.10.116 (2025-05-13)
DISPLAY
No Physical Displays DetectedWindows Screens
Screen 1: 1920x1080 @ 32 bpp
OPERATING SYSTEM
Name: Microsoft Windows Server 2025 Standard 64-bitVersion: 10.0.26100.7462 (Release 2009)
Installation Date: 2026-01-05
Free Memory: 53.82 GB (Physical) | 63.55 GB (Virtual) | 9.50 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Not Running
Active Power Plan: High performance (8c5e7fda-e8bf-4a96-9a85-a6e23a8c635c)