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
Official Submission Candidate
23 of 23 workloads produced scores
System Configuration
Manufacturer | HP |
Model | HP Z2 Tower G9 Workstation Desktop PC |
CPU | Intel(R) Core(TM) i7-14700K |
Memory | 64.00 GB @ 4400 MHz |
GPU | 1x NVIDIA RTX 4000 Ada Generation 1x Intel(R) UHD Graphics 770 |
Display | HP ZR2440w 24.0" (1920x1200) |
Storage | Drive 1: NVMe SAMSUNG MZVL21T0HCLR-00BH1 953.86 GB - SCSI Drive 2: NVMe SAMSUNG MZVL21T0HCLR-00BH1 953.86 GB - SCSI |
OS | Microsoft Windows 11 Pro (22631) |
Submission Details
Result Date | Thu Nov 21 2024 12:11:42 GMT-0800 (Pacific Standard Time) |
Submitter Company | |
Submitter Name | |
Submitter Comments |
Industry Vertical Scores
AI & Machine Learning |
2.02 |
Energy |
1.84 |
Financial Services |
1.35 |
Life Sciences |
2.19 |
Media & Entertainment |
2.26 |
Product Design |
2.13 |
Productivity & Development |
1.50 |
Hardware Subsystem Scores
CPU | 1.62 |
Accelerator | 4.83 |
Graphics | 7.98 |
Storage | 1.11 |
Workload | SPEC Ratio |
---|---|
7-Zip | 3.51 |
Autodesk Inventor | 1.07 |
Blender | 1.96 |
Convolution | 1.58 |
Data Science | 1.51 |
HandBrake | 1.90 |
Hidden Line Removal | 1.28 |
LAMMPS | 1.60 |
LLVM Clang | 1.53 |
LuxCoreRender | 1.74 |
MFEM | 1.40 |
NAMD | 1.52 |
Octave | 1.16 |
ONNX Inference | 2.72 |
OpenFOAM | 6.01 |
Options Pricing | 1.35 |
Poisson | 1.14 |
Python 3 | 1.35 |
Rodinia CFD | 2.55 |
Rodinia Life Sciences | 1.54 |
SRMP | 1.27 |
Viewport Graphics | 7.98 |
WPCstorage | 1.11 |
Industry Vertical Scores
AI & Machine Learning | 2.02 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Data Science |
|
|||
Pandas | 131.99 |
104.88
|
sec |
1.26
|
Scikit-learn | 449.17 |
311.33
|
sec |
1.44
|
XGBoost | 91.50 |
48.64
|
sec |
1.88
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
45.83
|
ms |
1.39
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
22.67
|
inferences/sec |
1.24
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
24.07
|
ms |
0.93
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
63.12
|
inferences/sec |
1.35
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
46.78
|
ms |
1.25
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
30.26
|
inferences/sec |
1.45
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
17.83
|
ms |
1.20
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
71.69
|
inferences/sec |
1.28
|
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
34.27
|
inferences/sec |
8.74
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
68.89
|
inferences/sec |
35.90
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
31.32
|
inferences/sec |
4.75
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
35.68
|
inferences/sec |
18.60
|
Industry Vertical Scores
Energy | 1.84 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Convolution |
|
|||
20K/100 | 0.09 |
0.14
|
iterations/sec |
1.58
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
18.30
|
iterations/sec |
1.14
|
Jacobi Square Grid | 6.19 |
7.09
|
iterations/sec |
1.15
|
SRMP |
|
|||
2D | 19.45 |
15.36
|
sec |
1.27
|
Viewport Graphics |
|
|||
energy | 11.48 |
122.84
|
fps |
10.70
|
WPCstorage |
|
|||
energy | 1547.93 |
1318.90
|
points |
0.85
|
Industry Vertical Scores
Financial Services | 1.35 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
48506.69
|
options/sec |
1.38
|
Black-Scholes | 3389.63 |
5031.80
|
Moptions/sec |
1.48
|
Binomial | 79377.62 |
95183.50
|
options/sec |
1.20
|
Industry Vertical Scores
Life Sciences | 2.19 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
LAMMPS |
|
|||
LJ | 705.82 |
1241.75
|
tau/day |
1.76
|
CHAIN | 1190.35 |
1856.07
|
tau/day |
1.56
|
EAM | 0.63 |
1.17
|
ns/day |
1.85
|
CHUTE | 38.25 |
45.27
|
tau/day |
1.18
|
RHODO | 0.26 |
0.45
|
ns/day |
1.73
|
NAMD |
|
|||
apoa1 | 45.38 |
30.33
|
ms/step |
1.50
|
f1atpase | 130.50 |
89.02
|
ms/step |
1.47
|
stmv | 448.57 |
284.80
|
ms/step |
1.58
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
1.11
|
fps |
1.61
|
HotSpot | 8.55 |
4.59
|
sec |
1.86
|
LavaMD | 0.07 |
0.12
|
iterations/sec |
1.64
|
SRAD | 47.04 |
54.69
|
iterations/sec |
1.16
|
Viewport Graphics |
|
|||
medical | 9.63 |
121.44
|
fps |
12.60
|
WPCstorage |
|
|||
namd | 1250.61 |
1342.19
|
points |
1.07
|
Industry Vertical Scores
Media & Entertainment | 2.26 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Blender |
|
|||
Classroom | 281.72 |
56.84
|
sec |
4.96
|
BMW27 | 43.82 |
29.53
|
sec |
1.48
|
BMW1M | 17.74 |
11.32
|
sec |
1.57
|
Island | 29.68 |
22.93
|
sec |
1.29
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
122.82
|
sec |
1.59
|
x265 4K to 1080p | 38.36 |
29.40
|
sec |
1.30
|
x265 4K to 4K | 107.73 |
77.49
|
sec |
1.39
|
x264 1080p to 1080p | 49.98 |
10.13
|
sec |
4.93
|
GPU H.265 4K to 4K | 169.65 |
169.14
|
fps |
1.00
|
GPU H.265 4K to 1080p | 128.84 |
424.17
|
fps |
3.29
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
4.70
|
Msamples/sec |
1.91
|
Food | 1.84 |
3.56
|
Msamples/sec |
1.93
|
Danish Mood | 2.29 |
3.37
|
Msamples/sec |
1.47
|
Procedural Leaves | 1.10 |
1.85
|
Msamples/sec |
1.68
|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
159.79
|
fps |
10.00
|
maya | 62.09 |
435.77
|
fps |
7.02
|
WPCstorage |
|
|||
3dsmax | 3299.42 |
4079.52
|
points |
1.24
|
handbrake | 1897.99 |
2217.34
|
points |
1.17
|
maya | 2037.06 |
2250.07
|
points |
1.10
|
MayaVenice | 472.63 |
503.13
|
points |
1.06
|
MandE | 1625.72 |
1519.92
|
points |
0.94
|
Industry Vertical Scores
Product Design | 2.13 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
4065.00
|
ms |
1.05
|
Create/Update Files | 4973.68 |
4556.00
|
ms |
1.09
|
Rebuild | 10590.28 |
9459.00
|
ms |
1.12
|
Render Style/Material | 628.78 |
613.00
|
ms |
1.03
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
31.18
|
fps |
1.28
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
162.46
|
sec |
1.40
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
133.60
|
sec |
6.01
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
351.90
|
iterations/sec |
2.55
|
Viewport Graphics |
|
|||
catia | 17.57 |
94.66
|
fps |
5.39
|
creo | 48.42 |
230.86
|
fps |
4.77
|
solidworks | 42.90 |
362.01
|
fps |
8.44
|
WPCstorage |
|
|||
ccx | 1398.45 |
1836.39
|
points |
1.31
|
cfd | 1921.51 |
1767.99
|
points |
0.92
|
icePack | 1543.34 |
1574.46
|
points |
1.02
|
mcad | 2612.50 |
3900.67
|
points |
1.49
|
proddev | 659.82 |
607.33
|
points |
0.92
|
Industry Vertical Scores
Productivity & Development | 1.50 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
12.50
|
sec |
1.28
|
Compression | 254.57 |
47.04
|
sec |
5.41
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
366.93
|
sec |
1.53
|
Octave |
|
|||
obench | 1.20 |
1.04
|
sec/operation |
1.15
|
benchmark2 | 0.11 |
0.09
|
sec/operation |
1.18
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.35
|
sec |
1.03
|
NumPy Add Matrix | 4.44 |
3.95
|
sec |
1.12
|
NumPy Multiply Matrix | 8.06 |
6.48
|
sec |
1.24
|
NumPy Invert Matrix | 15.53 |
12.59
|
sec |
1.23
|
NumPy Sin Matrix | 2.67 |
2.37
|
sec |
1.12
|
Multi-Matrix | 65.50 |
41.21
|
sec |
1.59
|
WPCstorage |
|
|||
7zip | 431.06 |
525.53
|
points |
1.22
|
mozillaVS | 7708.43 |
11042.90
|
points |
1.43
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
4.83
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
HandBrake |
|
|||
GPU H.265 4K to 4K | 169.65 |
169.14
|
fps |
1.00
|
GPU H.265 4K to 1080p | 128.84 |
424.17
|
fps |
3.29
|
ONNX Inference |
|
|||
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
34.27
|
inferences/sec |
8.74
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
68.89
|
inferences/sec |
35.90
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
31.32
|
inferences/sec |
4.75
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
35.68
|
inferences/sec |
18.60
|
1.62
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
12.50
|
sec |
1.28
|
Compression | 254.57 |
47.04
|
sec |
5.41
|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
4065.00
|
ms |
1.05
|
Create/Update Files | 4973.68 |
4556.00
|
ms |
1.09
|
Rebuild | 10590.28 |
9459.00
|
ms |
1.12
|
Render Style/Material | 628.78 |
613.00
|
ms |
1.03
|
Blender |
|
|||
Classroom | 281.72 |
56.84
|
sec |
4.96
|
BMW27 | 43.82 |
29.53
|
sec |
1.48
|
BMW1M | 17.74 |
11.32
|
sec |
1.57
|
Island | 29.68 |
22.93
|
sec |
1.29
|
Convolution |
|
|||
20K/100 | 0.09 |
0.14
|
iterations/sec |
1.58
|
Data Science |
|
|||
Pandas | 131.99 |
104.88
|
sec |
1.26
|
Scikit-learn | 449.17 |
311.33
|
sec |
1.44
|
XGBoost | 91.50 |
48.64
|
sec |
1.88
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
122.82
|
sec |
1.59
|
x265 4K to 1080p | 38.36 |
29.40
|
sec |
1.30
|
x265 4K to 4K | 107.73 |
77.49
|
sec |
1.39
|
x264 1080p to 1080p | 49.98 |
10.13
|
sec |
4.93
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
31.18
|
fps |
1.28
|
LAMMPS |
|
|||
LJ | 705.82 |
1241.75
|
tau/day |
1.76
|
CHAIN | 1190.35 |
1856.07
|
tau/day |
1.56
|
EAM | 0.63 |
1.17
|
ns/day |
1.85
|
CHUTE | 38.25 |
45.27
|
tau/day |
1.18
|
RHODO | 0.26 |
0.45
|
ns/day |
1.73
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
366.93
|
sec |
1.53
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
4.70
|
Msamples/sec |
1.91
|
Food | 1.84 |
3.56
|
Msamples/sec |
1.93
|
Danish Mood | 2.29 |
3.37
|
Msamples/sec |
1.47
|
Procedural Leaves | 1.10 |
1.85
|
Msamples/sec |
1.68
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
162.46
|
sec |
1.40
|
NAMD |
|
|||
apoa1 | 45.38 |
30.33
|
ms/step |
1.50
|
f1atpase | 130.50 |
89.02
|
ms/step |
1.47
|
stmv | 448.57 |
284.80
|
ms/step |
1.58
|
Octave |
|
|||
obench | 1.20 |
1.04
|
sec/operation |
1.15
|
benchmark2 | 0.11 |
0.09
|
sec/operation |
1.18
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
45.83
|
ms |
1.39
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
22.67
|
inferences/sec |
1.24
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
24.07
|
ms |
0.93
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
63.12
|
inferences/sec |
1.35
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
46.78
|
ms |
1.25
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
30.26
|
inferences/sec |
1.45
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
17.83
|
ms |
1.20
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
71.69
|
inferences/sec |
1.28
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
133.60
|
sec |
6.01
|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
48506.69
|
options/sec |
1.38
|
Black-Scholes | 3389.63 |
5031.80
|
Moptions/sec |
1.48
|
Binomial | 79377.62 |
95183.50
|
options/sec |
1.20
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
18.30
|
iterations/sec |
1.14
|
Jacobi Square Grid | 6.19 |
7.09
|
iterations/sec |
1.15
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.35
|
sec |
1.03
|
NumPy Add Matrix | 4.44 |
3.95
|
sec |
1.12
|
NumPy Multiply Matrix | 8.06 |
6.48
|
sec |
1.24
|
NumPy Invert Matrix | 15.53 |
12.59
|
sec |
1.23
|
NumPy Sin Matrix | 2.67 |
2.37
|
sec |
1.12
|
Multi-Matrix | 65.50 |
41.21
|
sec |
1.59
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
351.90
|
iterations/sec |
2.55
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
1.11
|
fps |
1.61
|
HotSpot | 8.55 |
4.59
|
sec |
1.86
|
LavaMD | 0.07 |
0.12
|
iterations/sec |
1.64
|
SRAD | 47.04 |
54.69
|
iterations/sec |
1.16
|
SRMP |
|
|||
2D | 19.45 |
15.36
|
sec |
1.27
|
7.98
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
159.79
|
fps |
10.00
|
catia | 17.57 |
94.66
|
fps |
5.39
|
creo | 48.42 |
230.86
|
fps |
4.77
|
energy | 11.48 |
122.84
|
fps |
10.70
|
maya | 62.09 |
435.77
|
fps |
7.02
|
medical | 9.63 |
121.44
|
fps |
12.60
|
solidworks | 42.90 |
362.01
|
fps |
8.44
|
1.11
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
WPCstorage |
|
|||
3dsmax | 3299.42 |
4079.52
|
points |
1.24
|
7zip | 431.06 |
525.53
|
points |
1.22
|
ccx | 1398.45 |
1836.39
|
points |
1.31
|
cfd | 1921.51 |
1767.99
|
points |
0.92
|
energy | 1547.93 |
1318.90
|
points |
0.85
|
handbrake | 1897.99 |
2217.34
|
points |
1.17
|
icePack | 1543.34 |
1574.46
|
points |
1.02
|
maya | 2037.06 |
2250.07
|
points |
1.10
|
MayaVenice | 472.63 |
503.13
|
points |
1.06
|
MandE | 1625.72 |
1519.92
|
points |
0.94
|
mcad | 2612.50 |
3900.67
|
points |
1.49
|
mozillaVS | 7708.43 |
11042.90
|
points |
1.43
|
namd | 1250.61 |
1342.19
|
points |
1.07
|
proddev | 659.82 |
607.33
|
points |
0.92
|
Workload Scores
Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|---|---|
7-Zip | Nov 21, 2024, 12:11:42 PM PST |
3.51
|
||||
Decompression | 12.50 sec | 16.04 |
12.50
|
sec |
1.28
|
|
Compression | 47.04 sec | 254.57 |
47.04
|
sec |
5.41
|
|
Autodesk Inventor | Nov 21, 2024, 12:12:46 PM PST |
1.07
|
||||
Open Document | 4.24 sec | 4253.73 |
4065.00
|
ms |
1.05
|
|
Create/Update Files | 6.26 sec | 4973.68 |
4556.00
|
ms |
1.09
|
|
Rebuild | 9.63 sec | 10590.28 |
9459.00
|
ms |
1.12
|
|
Render Style/Material | 0.78 sec | 628.78 |
613.00
|
ms |
1.03
|
|
Blender | Nov 21, 2024, 12:13:43 PM PST |
1.96
|
||||
Classroom | 56.84 sec | 281.72 |
56.84
|
sec |
4.96
|
|
BMW27 | 29.53 sec | 43.82 |
29.53
|
sec |
1.48
|
|
BMW1M | 11.32 sec | 17.74 |
11.32
|
sec |
1.57
|
|
Island | 22.93 sec | 29.68 |
22.93
|
sec |
1.29
|
|
Convolution | Nov 21, 2024, 12:15:48 PM PST |
1.58
|
||||
20K/100 | 36.58 sec | 0.09 |
0.14
|
iterations/sec |
1.58
|
|
Data Science | Nov 21, 2024, 12:16:24 PM PST |
1.51
|
||||
Pandas | 213.84 sec | 131.99 |
104.88
|
sec |
1.26
|
|
Scikit-learn | 315.36 sec | 449.17 |
311.33
|
sec |
1.44
|
|
XGBoost | 68.35 sec | 91.50 |
48.64
|
sec |
1.88
|
|
HandBrake | Nov 21, 2024, 12:26:34 PM PST |
1.90
|
||||
SVT-AV1 8K to 4K | 122.82 sec | 195.16 |
122.82
|
sec |
1.59
|
|
x265 4K to 1080p | 31.14 sec | 38.36 |
29.40
|
sec |
1.30
|
|
x265 4K to 4K | 79.22 sec | 107.73 |
77.49
|
sec |
1.39
|
|
x264 1080p to 1080p | 10.13 sec | 49.98 |
10.13
|
sec |
4.93
|
|
GPU H.265 4K to 4K | 51.59 sec | 169.65 |
130.42
|
fps |
0.77
|
|
GPU H.265 4K to 4K | 46.39 sec | 169.65 |
169.14
|
fps |
1.00
|
|
GPU H.265 4K to 1080p | 179.45 sec | 128.84 |
424.17
|
fps |
3.29
|
|
GPU H.265 4K to 1080p | 209.11 sec | 128.84 |
203.62
|
fps |
1.58
|
|
Hidden Line Removal | Nov 21, 2024, 12:38:50 PM PST |
1.28
|
||||
Palatov | 16.65 sec | 24.29 |
31.18
|
fps |
1.28
|
|
Palatov | 16.74 sec | 24.29 |
29.91
|
fps |
1.23
|
|
LAMMPS | Nov 21, 2024, 12:39:25 PM PST |
1.60
|
||||
LJ | 12.60 sec | 705.82 |
1241.75
|
tau/day |
1.76
|
|
CHAIN | 12.95 sec | 1190.35 |
1856.07
|
tau/day |
1.56
|
|
EAM | 12.15 sec | 0.63 |
1.17
|
ns/day |
1.85
|
|
CHUTE | 9.07 sec | 38.25 |
45.27
|
tau/day |
1.18
|
|
RHODO | 6.31 sec | 0.26 |
0.45
|
ns/day |
1.73
|
|
LLVM Clang | Nov 21, 2024, 12:40:18 PM PST |
1.53
|
||||
PyTorch | 384.28 sec | 562.76 |
366.93
|
sec |
1.53
|
|
LuxCoreRender | Nov 21, 2024, 12:47:30 PM PST |
1.74
|
||||
DLSC | 11.54 sec | 2.46 |
4.70
|
Msamples/sec |
1.91
|
|
Food | 16.22 sec | 1.84 |
3.56
|
Msamples/sec |
1.93
|
|
Danish Mood | 45.28 sec | 2.29 |
3.37
|
Msamples/sec |
1.47
|
|
Procedural Leaves | 29.88 sec | 1.10 |
1.85
|
Msamples/sec |
1.68
|
|
MFEM | Nov 21, 2024, 12:49:14 PM PST |
1.40
|
||||
Dynamic AMR | 162.46 sec | 227.39 |
162.46
|
sec |
1.40
|
|
NAMD | Nov 21, 2024, 12:51:56 PM PST |
1.52
|
||||
apoa1 | 12.45 sec | 45.38 |
30.33
|
ms/step |
1.50
|
|
f1atpase | 19.08 sec | 130.50 |
89.02
|
ms/step |
1.47
|
|
stmv | 36.30 sec | 448.57 |
284.80
|
ms/step |
1.58
|
|
Octave | Nov 21, 2024, 12:53:04 PM PST |
1.16
|
||||
obench | 33.95 sec | 1.20 |
1.04
|
sec/operation |
1.15
|
|
benchmark2 | 10.92 sec | 0.11 |
0.09
|
sec/operation |
1.18
|
|
ONNX Inference | Nov 21, 2024, 12:53:57 PM PST |
2.72
|
||||
CPU ResNet50-FP32-batch8 Latency | 20.36 sec | 63.72 |
45.83
|
ms |
1.39
|
|
CPU ResNet50-FP32-batch8 Throughput | 21.20 sec | 18.33 |
22.67
|
inferences/sec |
1.24
|
|
CPU ResNet50-FP32-batch8 Throughput | 21.66 sec | 18.33 |
21.71
|
inferences/sec |
1.18
|
|
CPU ResNet50-INT8-batch8 Latency | 20.14 sec | 22.37 |
24.07
|
ms |
0.93
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.54 sec | 46.62 |
47.77
|
inferences/sec |
1.02
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.62 sec | 46.62 |
63.12
|
inferences/sec |
1.35
|
|
CPU SuperResolution-FP32-batch8 Latency | 20.14 sec | 58.42 |
46.78
|
ms |
1.25
|
|
CPU SuperResolution-FP32-batch8 Throughput | 20.83 sec | 20.87 |
30.26
|
inferences/sec |
1.45
|
|
CPU SuperResolution-FP32-batch8 Throughput | 21.44 sec | 20.87 |
20.12
|
inferences/sec |
0.96
|
|
CPU SuperResolution-INT8-batch8 Latency | 20.10 sec | 21.34 |
17.83
|
ms |
1.20
|
|
CPU SuperResolution-INT8-batch8 Throughput | 20.41 sec | 55.92 |
71.69
|
inferences/sec |
1.28
|
|
CPU SuperResolution-INT8-batch8 Throughput | 20.54 sec | 55.92 |
63.86
|
inferences/sec |
1.14
|
|
GPU ResNet50-FP32-batch32 Throughput | 20.58 sec | 3.92 |
34.27
|
inferences/sec |
8.74
|
|
GPU ResNet50-FP32-batch32 Throughput | 20.53 sec | 3.92 |
33.73
|
inferences/sec |
8.60
|
|
GPU ResNet50-INT8-batch32 Throughput | 20.50 sec | 1.92 |
68.89
|
inferences/sec |
35.90
|
|
GPU ResNet50-INT8-batch32 Throughput | 20.52 sec | 1.92 |
68.32
|
inferences/sec |
35.60
|
|
GPU SuperResolution-FP32-batch32 Throughput | 21.33 sec | 6.59 |
31.27
|
inferences/sec |
4.74
|
|
GPU SuperResolution-FP32-batch32 Throughput | 21.29 sec | 6.59 |
31.32
|
inferences/sec |
4.75
|
|
GPU SuperResolution-INT8-batch32 Throughput | 21.32 sec | 1.92 |
35.68
|
inferences/sec |
18.60
|
|
GPU SuperResolution-INT8-batch32 Throughput | 21.35 sec | 1.92 |
35.55
|
inferences/sec |
18.50
|
|
OpenFOAM | Nov 21, 2024, 1:00:54 PM PST |
6.01
|
||||
XiFoam Solver | 146.03 sec | 803.27 |
135.60
|
sec |
5.92
|
|
XiFoam Solver | 143.12 sec | 803.27 |
133.60
|
sec |
6.01
|
|
Options Pricing | Nov 21, 2024, 1:05:46 PM PST |
1.35
|
||||
Monte Carlo | 21.69 sec | 35137.48 |
48506.69
|
options/sec |
1.38
|
|
Black-Scholes | 14.41 sec | 3389.63 |
5031.80
|
Moptions/sec |
1.48
|
|
Binomial | 11.08 sec | 79377.62 |
95183.50
|
options/sec |
1.20
|
|
Poisson | Nov 21, 2024, 1:06:34 PM PST |
1.14
|
||||
Jacobi Rectangular Grid | 10.22 sec | 16.05 |
17.44
|
iterations/sec |
1.09
|
|
Jacobi Rectangular Grid | 10.13 sec | 16.05 |
18.30
|
iterations/sec |
1.14
|
|
Jacobi Square Grid | 10.18 sec | 6.19 |
7.09
|
iterations/sec |
1.15
|
|
Jacobi Square Grid | 10.11 sec | 6.19 |
7.04
|
iterations/sec |
1.14
|
|
Python 3 | Nov 21, 2024, 1:07:14 PM PST |
1.35
|
||||
NumPy Create Matrix | 14.65 sec | 0.36 |
0.35
|
sec |
1.03
|
|
NumPy Add Matrix | 4.68 sec | 4.44 |
3.95
|
sec |
1.12
|
|
NumPy Multiply Matrix | 7.20 sec | 8.06 |
6.48
|
sec |
1.24
|
|
NumPy Invert Matrix | 13.32 sec | 15.53 |
12.59
|
sec |
1.23
|
|
NumPy Sin Matrix | 3.10 sec | 2.67 |
2.37
|
sec |
1.12
|
|
Multi-Matrix | 41.91 sec | 65.50 |
41.21
|
sec |
1.59
|
|
Rodinia CFD | Nov 21, 2024, 1:08:50 PM PST |
2.55
|
||||
Pre-Euler | 32.74 sec | 138.14 |
351.90
|
iterations/sec |
2.55
|
|
Rodinia Life Sciences | Nov 21, 2024, 1:09:23 PM PST |
1.54
|
||||
Heart Wall | 10.95 sec | 0.69 |
1.11
|
fps |
1.61
|
|
HotSpot | 5.61 sec | 8.55 |
4.59
|
sec |
1.86
|
|
LavaMD | 17.76 sec | 0.07 |
0.12
|
iterations/sec |
1.64
|
|
SRAD | 10.22 sec | 47.04 |
54.69
|
iterations/sec |
1.16
|
|
SRMP | Nov 21, 2024, 1:10:08 PM PST |
1.27
|
||||
2D | 15.73 sec | 19.45 |
15.36
|
sec |
1.27
|
|
Viewport Graphics | Nov 21, 2024, 1:10:24 PM PST |
7.98
|
||||
3dsmax | 129.28 sec | 15.96 |
159.79
|
fps |
10.00
|
|
catia | 134.09 sec | 17.57 |
94.66
|
fps |
5.39
|
|
creo | 154.88 sec | 48.42 |
230.86
|
fps |
4.77
|
|
energy | 82.30 sec | 11.48 |
122.84
|
fps |
10.70
|
|
maya | 99.52 sec | 62.09 |
435.77
|
fps |
7.02
|
|
medical | 73.41 sec | 9.63 |
121.44
|
fps |
12.60
|
|
solidworks | 79.10 sec | 42.90 |
362.01
|
fps |
8.44
|
|
WPCstorage | Nov 21, 2024, 1:23:51 PM PST |
1.11
|
||||
3dsmax | 53.38 sec | 3299.42 |
4079.52
|
points |
1.24
|
|
7zip | 55.47 sec | 431.06 |
525.53
|
points |
1.22
|
|
ccx | 12.45 sec | 1398.45 |
1836.39
|
points |
1.31
|
|
cfd | 13.07 sec | 1921.51 |
1767.99
|
points |
0.92
|
|
energy | 22.88 sec | 1547.93 |
1318.90
|
points |
0.85
|
|
handbrake | 16.40 sec | 1897.99 |
2217.34
|
points |
1.17
|
|
icePack | 57.70 sec | 1543.34 |
1574.46
|
points |
1.02
|
|
maya | 54.01 sec | 2037.06 |
2250.07
|
points |
1.10
|
|
MayaVenice | 32.05 sec | 472.63 |
503.13
|
points |
1.06
|
|
MandE | 21.82 sec | 1625.72 |
1519.92
|
points |
0.94
|
|
mcad | 56.42 sec | 2612.50 |
3900.67
|
points |
1.49
|
|
mozillaVS | 28.52 sec | 7708.43 |
11042.90
|
points |
1.43
|
|
namd | 17.51 sec | 1250.61 |
1342.19
|
points |
1.07
|
|
proddev | 19.44 sec | 659.82 |
607.33
|
points |
0.92
|
System Configuration Details
MOTHERBOARD
Name: 895CModel: HP Z2 Tower G9 Workstation Desktop PC
Version: KBC Version 12.03.27
Manufacturer: HP
Serial Number: PQRHPX2CYH001Z
BIOS: HP U50 Ver. 03.03.04
BIOS Version: HPQOEM - 0 (2024-09-02)
PROCESSOR
CPU #1: Intel(R) Core(TM) i7-14700K (3400MHz / 20C / 28T)
MEMORY
Controller1ChannelBDimm1 (DIMM1): Micron MTC16C2085S1UC48BA1 (32.00 GB / 4400 MHz / DDR5)Controller0ChannelADimm1 (DIMM3): Micron MTC16C2085S1UC48BA1 (32.00 GB / 4400 MHz / DDR5)
Total Memory: 64.00 GB
STORAGE
Disk #1: NVMe SAMSUNG MZVL21T0HCLR-00BH1 (953.86 GB - SCSI)Partition 1: GPT: System (0.25 GB)
Partition 2: GPT: Basic Data (952.73 GB)
Partition 3: GPT: Unknown (0.86 GB)
Disk #2: NVMe SAMSUNG MZVL21T0HCLR-00BH1 (953.86 GB - SCSI)
Partition 1: GPT: Basic Data (953.74 GB)
Available Volumes
C: (Windows): NTFS (836.28 GB of 952.73 GB Available)
D: (DATADRIVE1): NTFS (908.82 GB of 953.74 GB Available)
NETWORK
Adapter #1: Intel(R) Ethernet Connection (17) I219-LMType: Ethernet 802.3 | MAC: BC:E9:2F:9A:B3:B4 | Speed: 1000.00 Mbit
GRAPHICS
Adapter #1: NVIDIA RTX 4000 Ada GenerationVideo Memory: 20.00 GB
Current Resolution: 1920x1200 @ 59 Hz (32-bit Color)
Driver Version: 31.0.15.5274 (2024-06-23)
Adapter #2: Intel(R) UHD Graphics 770
Video Memory: 31.98 GB
Current Resolution: Unknown
Driver Version: 32.0.101.5972 (2024-08-18)
DISPLAY
Display #1: HEWLETT PACKARD HP ZR2440w 24.0" (1920x1200)Model: 2954 | S/N: CN42210309 | Connector: External DisplayPort (Digital)
Windows Screens
Screen 1: 1920x1200 @ 32 bpp
OPERATING SYSTEM
Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.22631.4460 (Release 2009)
Installation Date: 2024-10-24
Free Memory: 57.34 GB (Physical) | 59.54 GB (Virtual) | 4.00 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Running
Active Power Plan: High performance (8c5e7fda-e8bf-4a96-9a85-a6e23a8c635c)