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 ZBook Power 16 inch G11 Mobile Workstation PC |
CPU | Intel(R) Core(TM) Ultra 9 185H |
Memory | 64.00 GB @ 5600 MHz |
GPU | 1x Intel(R) Arc(TM) Graphics 1x NVIDIA RTX 3000 Ada Generation Laptop GPU |
Display | Internal Display 15.9" (2560x1600) |
Storage | SAMSUNG MZVL22T0HBLB-00BH1 1907.73 GB - SCSI |
OS | Microsoft Windows 11 Pro (22631) |
Submission Details
Result Date | Thu Nov 21 2024 10:49:51 GMT-0800 (Pacific Standard Time) |
Submitter Company | |
Submitter Name | |
Submitter Comments |
Industry Vertical Scores
AI & Machine Learning |
1.43 |
Energy |
1.35 |
Financial Services |
0.74 |
Life Sciences |
1.43 |
Media & Entertainment |
1.41 |
Product Design |
1.48 |
Productivity & Development |
0.96 |
Hardware Subsystem Scores
CPU | 1.06 |
Accelerator | 3.80 |
Graphics | 4.53 |
Storage | 0.85 |
Workload | SPEC Ratio |
---|---|
7-Zip | 2.07 |
Autodesk Inventor | 0.85 |
Blender | 1.06 |
Convolution | 0.89 |
Data Science | 1.16 |
HandBrake | 1.34 |
Hidden Line Removal | 1.01 |
LAMMPS | 1.11 |
LLVM Clang | 0.85 |
LuxCoreRender | 0.97 |
MFEM | 1.09 |
NAMD | 0.75 |
Octave | 0.88 |
ONNX Inference | 1.77 |
OpenFOAM | 5.89 |
Options Pricing | 0.74 |
Poisson | 1.41 |
Python 3 | 0.94 |
Rodinia CFD | 1.03 |
Rodinia Life Sciences | 0.90 |
SRMP | 0.86 |
Viewport Graphics | 4.53 |
WPCstorage | 0.85 |
Industry Vertical Scores
AI & Machine Learning | 1.43 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Data Science |
|
|||
Pandas | 131.99 |
132.10
|
sec |
1.00
|
Scikit-learn | 449.17 |
363.37
|
sec |
1.24
|
XGBoost | 91.50 |
71.85
|
sec |
1.27
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
76.68
|
ms |
0.83
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
14.43
|
inferences/sec |
0.79
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
27.76
|
ms |
0.81
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
40.87
|
inferences/sec |
0.88
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
79.38
|
ms |
0.74
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
17.58
|
inferences/sec |
0.84
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
26.29
|
ms |
0.81
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
51.49
|
inferences/sec |
0.92
|
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
18.39
|
inferences/sec |
4.69
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
40.27
|
inferences/sec |
21.00
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
22.40
|
inferences/sec |
3.40
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
25.10
|
inferences/sec |
13.10
|
Industry Vertical Scores
Energy | 1.35 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Convolution |
|
|||
20K/100 | 0.09 |
0.08
|
iterations/sec |
0.89
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
23.36
|
iterations/sec |
1.46
|
Jacobi Square Grid | 6.19 |
8.43
|
iterations/sec |
1.36
|
SRMP |
|
|||
2D | 19.45 |
22.48
|
sec |
0.86
|
Viewport Graphics |
|
|||
energy | 11.48 |
74.36
|
fps |
6.48
|
WPCstorage |
|
|||
energy | 1547.93 |
1006.95
|
points |
0.65
|
Industry Vertical Scores
Financial Services | 0.74 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
26885.45
|
options/sec |
0.77
|
Black-Scholes | 3389.63 |
2770.55
|
Moptions/sec |
0.82
|
Binomial | 79377.62 |
50654.89
|
options/sec |
0.64
|
Industry Vertical Scores
Life Sciences | 1.43 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
LAMMPS |
|
|||
LJ | 705.82 |
875.27
|
tau/day |
1.24
|
CHAIN | 1190.35 |
1576.32
|
tau/day |
1.32
|
EAM | 0.63 |
0.71
|
ns/day |
1.13
|
CHUTE | 38.25 |
46.02
|
tau/day |
1.20
|
RHODO | 0.26 |
0.20
|
ns/day |
0.77
|
NAMD |
|
|||
apoa1 | 45.38 |
67.54
|
ms/step |
0.67
|
f1atpase | 130.50 |
172.41
|
ms/step |
0.76
|
stmv | 448.57 |
533.01
|
ms/step |
0.84
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
0.73
|
fps |
1.06
|
HotSpot | 8.55 |
10.89
|
sec |
0.79
|
LavaMD | 0.07 |
0.07
|
iterations/sec |
0.93
|
SRAD | 47.04 |
39.80
|
iterations/sec |
0.85
|
Viewport Graphics |
|
|||
medical | 9.63 |
86.43
|
fps |
8.98
|
WPCstorage |
|
|||
namd | 1250.61 |
1084.96
|
points |
0.87
|
Industry Vertical Scores
Media & Entertainment | 1.41 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Blender |
|
|||
Classroom | 281.72 |
115.31
|
sec |
2.44
|
BMW27 | 43.82 |
48.73
|
sec |
0.90
|
BMW1M | 17.74 |
18.56
|
sec |
0.96
|
Island | 29.68 |
48.39
|
sec |
0.61
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
209.48
|
sec |
0.93
|
x265 4K to 1080p | 38.36 |
45.44
|
sec |
0.84
|
x265 4K to 4K | 107.73 |
126.30
|
sec |
0.85
|
x264 1080p to 1080p | 49.98 |
17.91
|
sec |
2.79
|
GPU H.265 4K to 4K | 169.65 |
226.69
|
fps |
1.34
|
GPU H.265 4K to 1080p | 128.84 |
304.22
|
fps |
2.36
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
2.63
|
Msamples/sec |
1.07
|
Food | 1.84 |
1.94
|
Msamples/sec |
1.05
|
Danish Mood | 2.29 |
1.83
|
Msamples/sec |
0.80
|
Procedural Leaves | 1.10 |
1.09
|
Msamples/sec |
0.99
|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
76.56
|
fps |
4.80
|
maya | 62.09 |
252.18
|
fps |
4.06
|
WPCstorage |
|
|||
3dsmax | 3299.42 |
3338.32
|
points |
1.01
|
handbrake | 1897.99 |
1987.51
|
points |
1.05
|
maya | 2037.06 |
1704.92
|
points |
0.84
|
MayaVenice | 472.63 |
378.59
|
points |
0.80
|
MandE | 1625.72 |
1343.16
|
points |
0.83
|
Industry Vertical Scores
Product Design | 1.48 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
5044.00
|
ms |
0.84
|
Create/Update Files | 4973.68 |
5940.00
|
ms |
0.84
|
Rebuild | 10590.28 |
12175.00
|
ms |
0.87
|
Render Style/Material | 628.78 |
744.00
|
ms |
0.84
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
24.45
|
fps |
1.01
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
209.46
|
sec |
1.09
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
136.34
|
sec |
5.89
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
142.53
|
iterations/sec |
1.03
|
Viewport Graphics |
|
|||
catia | 17.57 |
63.48
|
fps |
3.61
|
creo | 48.42 |
97.55
|
fps |
2.01
|
solidworks | 42.90 |
204.66
|
fps |
4.77
|
WPCstorage |
|
|||
ccx | 1398.45 |
1562.91
|
points |
1.12
|
cfd | 1921.51 |
1383.83
|
points |
0.72
|
icePack | 1543.34 |
1198.88
|
points |
0.78
|
mcad | 2612.50 |
2590.02
|
points |
0.99
|
proddev | 659.82 |
446.18
|
points |
0.68
|
Industry Vertical Scores
Productivity & Development | 0.96 | |||
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
31.86
|
sec |
0.50
|
Compression | 254.57 |
67.37
|
sec |
3.78
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
658.44
|
sec |
0.85
|
Octave |
|
|||
obench | 1.20 |
1.33
|
sec/operation |
0.90
|
benchmark2 | 0.11 |
0.13
|
sec/operation |
0.85
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.38
|
sec |
0.95
|
NumPy Add Matrix | 4.44 |
5.04
|
sec |
0.88
|
NumPy Multiply Matrix | 8.06 |
9.28
|
sec |
0.87
|
NumPy Invert Matrix | 15.53 |
16.23
|
sec |
0.96
|
NumPy Sin Matrix | 2.67 |
3.13
|
sec |
0.85
|
Multi-Matrix | 65.50 |
67.39
|
sec |
0.97
|
WPCstorage |
|
|||
7zip | 431.06 |
497.57
|
points |
1.15
|
mozillaVS | 7708.43 |
4969.50
|
points |
0.65
|
Hardware Subsystem Scores
Hardware Subsystem
SPEC Ratio
3.80
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
HandBrake |
|
|||
GPU H.265 4K to 4K | 169.65 |
226.69
|
fps |
1.34
|
GPU H.265 4K to 1080p | 128.84 |
304.22
|
fps |
2.36
|
ONNX Inference |
|
|||
GPU ResNet50-FP32-batch32 Throughput | 3.92 |
18.39
|
inferences/sec |
4.69
|
GPU ResNet50-INT8-batch32 Throughput | 1.92 |
40.27
|
inferences/sec |
21.00
|
GPU SuperResolution-FP32-batch32 Throughput | 6.59 |
22.40
|
inferences/sec |
3.40
|
GPU SuperResolution-INT8-batch32 Throughput | 1.92 |
25.10
|
inferences/sec |
13.10
|
1.06
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
7-Zip |
|
|||
Decompression | 16.04 |
31.86
|
sec |
0.50
|
Compression | 254.57 |
67.37
|
sec |
3.78
|
Autodesk Inventor |
|
|||
Open Document | 4253.73 |
5044.00
|
ms |
0.84
|
Create/Update Files | 4973.68 |
5940.00
|
ms |
0.84
|
Rebuild | 10590.28 |
12175.00
|
ms |
0.87
|
Render Style/Material | 628.78 |
744.00
|
ms |
0.84
|
Blender |
|
|||
Classroom | 281.72 |
115.31
|
sec |
2.44
|
BMW27 | 43.82 |
48.73
|
sec |
0.90
|
BMW1M | 17.74 |
18.56
|
sec |
0.96
|
Island | 29.68 |
48.39
|
sec |
0.61
|
Convolution |
|
|||
20K/100 | 0.09 |
0.08
|
iterations/sec |
0.89
|
Data Science |
|
|||
Pandas | 131.99 |
132.10
|
sec |
1.00
|
Scikit-learn | 449.17 |
363.37
|
sec |
1.24
|
XGBoost | 91.50 |
71.85
|
sec |
1.27
|
HandBrake |
|
|||
SVT-AV1 8K to 4K | 195.16 |
209.48
|
sec |
0.93
|
x265 4K to 1080p | 38.36 |
45.44
|
sec |
0.84
|
x265 4K to 4K | 107.73 |
126.30
|
sec |
0.85
|
x264 1080p to 1080p | 49.98 |
17.91
|
sec |
2.79
|
Hidden Line Removal |
|
|||
Palatov | 24.29 |
24.45
|
fps |
1.01
|
LAMMPS |
|
|||
LJ | 705.82 |
875.27
|
tau/day |
1.24
|
CHAIN | 1190.35 |
1576.32
|
tau/day |
1.32
|
EAM | 0.63 |
0.71
|
ns/day |
1.13
|
CHUTE | 38.25 |
46.02
|
tau/day |
1.20
|
RHODO | 0.26 |
0.20
|
ns/day |
0.77
|
LLVM Clang |
|
|||
PyTorch | 562.76 |
658.44
|
sec |
0.85
|
LuxCoreRender |
|
|||
DLSC | 2.46 |
2.63
|
Msamples/sec |
1.07
|
Food | 1.84 |
1.94
|
Msamples/sec |
1.05
|
Danish Mood | 2.29 |
1.83
|
Msamples/sec |
0.80
|
Procedural Leaves | 1.10 |
1.09
|
Msamples/sec |
0.99
|
MFEM |
|
|||
Dynamic AMR | 227.39 |
209.46
|
sec |
1.09
|
NAMD |
|
|||
apoa1 | 45.38 |
67.54
|
ms/step |
0.67
|
f1atpase | 130.50 |
172.41
|
ms/step |
0.76
|
stmv | 448.57 |
533.01
|
ms/step |
0.84
|
Octave |
|
|||
obench | 1.20 |
1.33
|
sec/operation |
0.90
|
benchmark2 | 0.11 |
0.13
|
sec/operation |
0.85
|
ONNX Inference |
|
|||
CPU ResNet50-FP32-batch8 Latency | 63.72 |
76.68
|
ms |
0.83
|
CPU ResNet50-FP32-batch8 Throughput | 18.33 |
14.43
|
inferences/sec |
0.79
|
CPU ResNet50-INT8-batch8 Latency | 22.37 |
27.76
|
ms |
0.81
|
CPU ResNet50-INT8-batch8 Throughput | 46.62 |
40.87
|
inferences/sec |
0.88
|
CPU SuperResolution-FP32-batch8 Latency | 58.42 |
79.38
|
ms |
0.74
|
CPU SuperResolution-FP32-batch8 Throughput | 20.87 |
17.58
|
inferences/sec |
0.84
|
CPU SuperResolution-INT8-batch8 Latency | 21.34 |
26.29
|
ms |
0.81
|
CPU SuperResolution-INT8-batch8 Throughput | 55.92 |
51.49
|
inferences/sec |
0.92
|
OpenFOAM |
|
|||
XiFoam Solver | 803.27 |
136.34
|
sec |
5.89
|
Options Pricing |
|
|||
Monte Carlo | 35137.48 |
26885.45
|
options/sec |
0.77
|
Black-Scholes | 3389.63 |
2770.55
|
Moptions/sec |
0.82
|
Binomial | 79377.62 |
50654.89
|
options/sec |
0.64
|
Poisson |
|
|||
Jacobi Rectangular Grid | 16.05 |
23.36
|
iterations/sec |
1.46
|
Jacobi Square Grid | 6.19 |
8.43
|
iterations/sec |
1.36
|
Python 3 |
|
|||
NumPy Create Matrix | 0.36 |
0.38
|
sec |
0.95
|
NumPy Add Matrix | 4.44 |
5.04
|
sec |
0.88
|
NumPy Multiply Matrix | 8.06 |
9.28
|
sec |
0.87
|
NumPy Invert Matrix | 15.53 |
16.23
|
sec |
0.96
|
NumPy Sin Matrix | 2.67 |
3.13
|
sec |
0.85
|
Multi-Matrix | 65.50 |
67.39
|
sec |
0.97
|
Rodinia CFD |
|
|||
Pre-Euler | 138.14 |
142.53
|
iterations/sec |
1.03
|
Rodinia Life Sciences |
|
|||
Heart Wall | 0.69 |
0.73
|
fps |
1.06
|
HotSpot | 8.55 |
10.89
|
sec |
0.79
|
LavaMD | 0.07 |
0.07
|
iterations/sec |
0.93
|
SRAD | 47.04 |
39.80
|
iterations/sec |
0.85
|
SRMP |
|
|||
2D | 19.45 |
22.48
|
sec |
0.86
|
4.53
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
Viewport Graphics |
|
|||
3dsmax | 15.96 |
76.56
|
fps |
4.80
|
catia | 17.57 |
63.48
|
fps |
3.61
|
creo | 48.42 |
97.55
|
fps |
2.01
|
energy | 11.48 |
74.36
|
fps |
6.48
|
maya | 62.09 |
252.18
|
fps |
4.06
|
medical | 9.63 |
86.43
|
fps |
8.98
|
solidworks | 42.90 |
204.66
|
fps |
4.77
|
0.85
Workload | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|
WPCstorage |
|
|||
3dsmax | 3299.42 |
3338.32
|
points |
1.01
|
7zip | 431.06 |
497.57
|
points |
1.15
|
ccx | 1398.45 |
1562.91
|
points |
1.12
|
cfd | 1921.51 |
1383.83
|
points |
0.72
|
energy | 1547.93 |
1006.95
|
points |
0.65
|
handbrake | 1897.99 |
1987.51
|
points |
1.05
|
icePack | 1543.34 |
1198.88
|
points |
0.78
|
maya | 2037.06 |
1704.92
|
points |
0.84
|
MayaVenice | 472.63 |
378.59
|
points |
0.80
|
MandE | 1625.72 |
1343.16
|
points |
0.83
|
mcad | 2612.50 |
2590.02
|
points |
0.99
|
mozillaVS | 7708.43 |
4969.50
|
points |
0.65
|
namd | 1250.61 |
1084.96
|
points |
0.87
|
proddev | 659.82 |
446.18
|
points |
0.68
|
Workload Scores
Workload | Time Stamp | Execution Time | Reference Result | Measured Result | Unit | SPEC Ratio |
---|---|---|---|---|---|---|
7-Zip | Nov 21, 2024, 10:49:51 AM PST |
2.07
|
||||
Decompression | 31.86 sec | 16.04 |
31.86
|
sec |
0.50
|
|
Compression | 67.37 sec | 254.57 |
67.37
|
sec |
3.78
|
|
Autodesk Inventor | Nov 21, 2024, 10:51:36 AM PST |
0.85
|
||||
Open Document | 5.27 sec | 4253.73 |
5044.00
|
ms |
0.84
|
|
Create/Update Files | 7.76 sec | 4973.68 |
5940.00
|
ms |
0.84
|
|
Rebuild | 12.41 sec | 10590.28 |
12175.00
|
ms |
0.87
|
|
Render Style/Material | 0.96 sec | 628.78 |
744.00
|
ms |
0.84
|
|
Blender | Nov 21, 2024, 10:53:05 AM PST |
1.06
|
||||
Classroom | 115.31 sec | 281.72 |
115.31
|
sec |
2.44
|
|
BMW27 | 48.73 sec | 43.82 |
48.73
|
sec |
0.90
|
|
BMW1M | 18.56 sec | 17.74 |
18.56
|
sec |
0.96
|
|
Island | 48.39 sec | 29.68 |
48.39
|
sec |
0.61
|
|
Convolution | Nov 21, 2024, 10:57:01 AM PST |
0.89
|
||||
20K/100 | 40.28 sec | 0.09 |
0.08
|
iterations/sec |
0.89
|
|
Data Science | Nov 21, 2024, 10:57:41 AM PST |
1.16
|
||||
Pandas | 297.48 sec | 131.99 |
132.10
|
sec |
1.00
|
|
Scikit-learn | 368.93 sec | 449.17 |
363.37
|
sec |
1.24
|
|
XGBoost | 109.71 sec | 91.50 |
71.85
|
sec |
1.27
|
|
HandBrake | Nov 21, 2024, 11:11:04 AM PST |
1.34
|
||||
SVT-AV1 8K to 4K | 209.48 sec | 195.16 |
209.48
|
sec |
0.93
|
|
x265 4K to 1080p | 48.23 sec | 38.36 |
45.44
|
sec |
0.84
|
|
x265 4K to 4K | 128.99 sec | 107.73 |
126.30
|
sec |
0.85
|
|
x264 1080p to 1080p | 17.91 sec | 49.98 |
17.91
|
sec |
2.79
|
|
GPU H.265 4K to 4K | 71.67 sec | 169.65 |
118.70
|
fps |
0.70
|
|
GPU H.265 4K to 4K | 58.68 sec | 169.65 |
226.69
|
fps |
1.34
|
|
GPU H.265 4K to 1080p | 249.29 sec | 128.84 |
187.86
|
fps |
1.46
|
|
GPU H.265 4K to 1080p | 246.24 sec | 128.84 |
304.22
|
fps |
2.36
|
|
Hidden Line Removal | Nov 21, 2024, 11:28:25 AM PST |
1.01
|
||||
Palatov | 20.15 sec | 24.29 |
24.45
|
fps |
1.01
|
|
Palatov | 20.04 sec | 24.29 |
22.64
|
fps |
0.93
|
|
LAMMPS | Nov 21, 2024, 11:29:09 AM PST |
1.11
|
||||
LJ | 18.66 sec | 705.82 |
875.27
|
tau/day |
1.24
|
|
CHAIN | 16.27 sec | 1190.35 |
1576.32
|
tau/day |
1.32
|
|
EAM | 19.89 sec | 0.63 |
0.71
|
ns/day |
1.13
|
|
CHUTE | 9.41 sec | 38.25 |
46.02
|
tau/day |
1.20
|
|
RHODO | 15.01 sec | 0.26 |
0.20
|
ns/day |
0.77
|
|
LLVM Clang | Nov 21, 2024, 11:30:31 AM PST |
0.85
|
||||
PyTorch | 683.25 sec | 562.76 |
658.44
|
sec |
0.85
|
|
LuxCoreRender | Nov 21, 2024, 11:43:29 AM PST |
0.97
|
||||
DLSC | 18.86 sec | 2.46 |
2.63
|
Msamples/sec |
1.07
|
|
Food | 26.90 sec | 1.84 |
1.94
|
Msamples/sec |
1.05
|
|
Danish Mood | 81.79 sec | 2.29 |
1.83
|
Msamples/sec |
0.80
|
|
Procedural Leaves | 50.20 sec | 1.10 |
1.09
|
Msamples/sec |
0.99
|
|
MFEM | Nov 21, 2024, 11:46:28 AM PST |
1.09
|
||||
Dynamic AMR | 209.46 sec | 227.39 |
209.46
|
sec |
1.09
|
|
NAMD | Nov 21, 2024, 11:50:01 AM PST |
0.75
|
||||
apoa1 | 27.18 sec | 45.38 |
67.54
|
ms/step |
0.67
|
|
f1atpase | 39.13 sec | 130.50 |
172.41
|
ms/step |
0.76
|
|
stmv | 55.00 sec | 448.57 |
533.01
|
ms/step |
0.84
|
|
Octave | Nov 21, 2024, 11:52:05 AM PST |
0.88
|
||||
obench | 53.45 sec | 1.20 |
1.33
|
sec/operation |
0.90
|
|
benchmark2 | 11.69 sec | 0.11 |
0.13
|
sec/operation |
0.85
|
|
ONNX Inference | Nov 21, 2024, 11:53:21 AM PST |
1.77
|
||||
CPU ResNet50-FP32-batch8 Latency | 20.52 sec | 63.72 |
76.68
|
ms |
0.83
|
|
CPU ResNet50-FP32-batch8 Throughput | 21.52 sec | 18.33 |
14.43
|
inferences/sec |
0.79
|
|
CPU ResNet50-FP32-batch8 Throughput | 22.36 sec | 18.33 |
13.30
|
inferences/sec |
0.72
|
|
CPU ResNet50-INT8-batch8 Latency | 20.21 sec | 22.37 |
27.76
|
ms |
0.81
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.59 sec | 46.62 |
39.79
|
inferences/sec |
0.85
|
|
CPU ResNet50-INT8-batch8 Throughput | 20.76 sec | 46.62 |
40.87
|
inferences/sec |
0.88
|
|
CPU SuperResolution-FP32-batch8 Latency | 20.18 sec | 58.42 |
79.38
|
ms |
0.74
|
|
CPU SuperResolution-FP32-batch8 Throughput | 21.15 sec | 20.87 |
17.58
|
inferences/sec |
0.84
|
|
CPU SuperResolution-FP32-batch8 Throughput | 21.73 sec | 20.87 |
16.63
|
inferences/sec |
0.80
|
|
CPU SuperResolution-INT8-batch8 Latency | 20.11 sec | 21.34 |
26.29
|
ms |
0.81
|
|
CPU SuperResolution-INT8-batch8 Throughput | 20.46 sec | 55.92 |
51.49
|
inferences/sec |
0.92
|
|
CPU SuperResolution-INT8-batch8 Throughput | 20.69 sec | 55.92 |
46.59
|
inferences/sec |
0.83
|
|
GPU ResNet50-FP32-batch32 Throughput | 22.79 sec | 3.92 |
18.35
|
inferences/sec |
4.68
|
|
GPU ResNet50-FP32-batch32 Throughput | 20.67 sec | 3.92 |
18.39
|
inferences/sec |
4.69
|
|
GPU ResNet50-INT8-batch32 Throughput | 20.71 sec | 1.92 |
40.27
|
inferences/sec |
21.00
|
|
GPU ResNet50-INT8-batch32 Throughput | 20.67 sec | 1.92 |
40.33
|
inferences/sec |
21.00
|
|
GPU SuperResolution-FP32-batch32 Throughput | 21.25 sec | 6.59 |
22.40
|
inferences/sec |
3.40
|
|
GPU SuperResolution-FP32-batch32 Throughput | 21.23 sec | 6.59 |
22.27
|
inferences/sec |
3.38
|
|
GPU SuperResolution-INT8-batch32 Throughput | 21.16 sec | 1.92 |
25.01
|
inferences/sec |
13.00
|
|
GPU SuperResolution-INT8-batch32 Throughput | 21.17 sec | 1.92 |
25.10
|
inferences/sec |
13.10
|
|
OpenFOAM | Nov 21, 2024, 12:00:26 PM PST |
5.89
|
||||
XiFoam Solver | 242.91 sec | 803.27 |
225.30
|
sec |
3.57
|
|
XiFoam Solver | 148.80 sec | 803.27 |
136.34
|
sec |
5.89
|
|
Options Pricing | Nov 21, 2024, 12:07:05 PM PST |
0.74
|
||||
Monte Carlo | 39.18 sec | 35137.48 |
26885.45
|
options/sec |
0.77
|
|
Black-Scholes | 25.55 sec | 3389.63 |
2770.55
|
Moptions/sec |
0.82
|
|
Binomial | 20.79 sec | 79377.62 |
50654.89
|
options/sec |
0.64
|
|
Poisson | Nov 21, 2024, 12:08:30 PM PST |
1.41
|
||||
Jacobi Rectangular Grid | 10.30 sec | 16.05 |
7.67
|
iterations/sec |
0.48
|
|
Jacobi Rectangular Grid | 10.09 sec | 16.05 |
23.36
|
iterations/sec |
1.46
|
|
Jacobi Square Grid | 10.16 sec | 6.19 |
4.74
|
iterations/sec |
0.77
|
|
Jacobi Square Grid | 10.11 sec | 6.19 |
8.43
|
iterations/sec |
1.36
|
|
Python 3 | Nov 21, 2024, 12:09:14 PM PST |
0.94
|
||||
NumPy Create Matrix | 31.53 sec | 0.36 |
0.38
|
sec |
0.95
|
|
NumPy Add Matrix | 6.07 sec | 4.44 |
5.04
|
sec |
0.88
|
|
NumPy Multiply Matrix | 10.31 sec | 8.06 |
9.28
|
sec |
0.87
|
|
NumPy Invert Matrix | 17.27 sec | 15.53 |
16.23
|
sec |
0.96
|
|
NumPy Sin Matrix | 4.16 sec | 2.67 |
3.13
|
sec |
0.85
|
|
Multi-Matrix | 68.61 sec | 65.50 |
67.39
|
sec |
0.97
|
|
Rodinia CFD | Nov 21, 2024, 12:11:50 PM PST |
1.03
|
||||
Pre-Euler | 33.73 sec | 138.14 |
142.53
|
iterations/sec |
1.03
|
|
Rodinia Life Sciences | Nov 21, 2024, 12:12:27 PM PST |
0.90
|
||||
Heart Wall | 11.20 sec | 0.69 |
0.73
|
fps |
1.06
|
|
HotSpot | 12.30 sec | 8.55 |
10.89
|
sec |
0.79
|
|
LavaMD | 16.02 sec | 0.07 |
0.07
|
iterations/sec |
0.93
|
|
SRAD | 10.38 sec | 47.04 |
39.80
|
iterations/sec |
0.85
|
|
SRMP | Nov 21, 2024, 12:13:20 PM PST |
0.86
|
||||
2D | 23.03 sec | 19.45 |
22.48
|
sec |
0.86
|
|
Viewport Graphics | Nov 21, 2024, 12:13:46 PM PST |
4.53
|
||||
3dsmax | 187.13 sec | 15.96 |
76.56
|
fps |
4.80
|
|
catia | 247.34 sec | 17.57 |
63.48
|
fps |
3.61
|
|
creo | 295.35 sec | 48.42 |
97.55
|
fps |
2.01
|
|
energy | 90.72 sec | 11.48 |
74.36
|
fps |
6.48
|
|
maya | 124.09 sec | 62.09 |
252.18
|
fps |
4.06
|
|
medical | 80.17 sec | 9.63 |
86.43
|
fps |
8.98
|
|
solidworks | 98.28 sec | 42.90 |
204.66
|
fps |
4.77
|
|
WPCstorage | Nov 21, 2024, 12:34:33 PM PST |
0.85
|
||||
3dsmax | 62.98 sec | 3299.42 |
3338.32
|
points |
1.01
|
|
7zip | 68.61 sec | 431.06 |
497.57
|
points |
1.15
|
|
ccx | 12.83 sec | 1398.45 |
1562.91
|
points |
1.12
|
|
cfd | 13.71 sec | 1921.51 |
1383.83
|
points |
0.72
|
|
energy | 26.46 sec | 1547.93 |
1006.95
|
points |
0.65
|
|
handbrake | 18.12 sec | 1897.99 |
1987.51
|
points |
1.05
|
|
icePack | 70.45 sec | 1543.34 |
1198.88
|
points |
0.78
|
|
maya | 66.82 sec | 2037.06 |
1704.92
|
points |
0.84
|
|
MayaVenice | 39.32 sec | 472.63 |
378.59
|
points |
0.80
|
|
MandE | 24.70 sec | 1625.72 |
1343.16
|
points |
0.83
|
|
mcad | 74.16 sec | 2612.50 |
2590.02
|
points |
0.99
|
|
mozillaVS | 35.98 sec | 7708.43 |
4969.50
|
points |
0.65
|
|
namd | 19.25 sec | 1250.61 |
1084.96
|
points |
0.87
|
|
proddev | 22.39 sec | 659.82 |
446.18
|
points |
0.68
|
System Configuration Details
MOTHERBOARD
Name: 8CA0Model: HP ZBook Power 16 inch G11 Mobile Workstation PC
Version: KBC Version 07.48.00
Manufacturer: HP
Serial Number: PTYBC028JJH011
BIOS: HP W97 Ver. 01.03.04
BIOS Version: HPQOEM - 0 (2024-09-05)
PROCESSOR
CPU #1: Intel(R) Core(TM) Ultra 9 185H (2300MHz / 16C / 22T)
MEMORY
Controller0ChannelADimm0 (Bottom-Slot 1(left)): Hynix/Hyundai HMCG88AGBSA095N (32.00 GB / 5600 MHz / DDR5)Controller1ChannelADimm0 (Bottom-Slot 2(right)): Hynix/Hyundai HMCG88AGBSA095N (32.00 GB / 5600 MHz / DDR5)
Total Memory: 64.00 GB
STORAGE
Disk #1: SAMSUNG MZVL22T0HBLB-00BH1 (1907.73 GB - SCSI)Partition 1: GPT: System (0.25 GB)
Partition 2: GPT: Basic Data (1874.40 GB)
Partition 3: GPT: Unknown (1.05 GB)
Partition 4: GPT: Basic Data (1.00 GB)
Partition 5: GPT: Basic Data (31.00 GB)
Available Volumes
C: (Windows): NTFS (1724.78 GB of 1874.40 GB Available)
NETWORK
Adapter #1: Intel(R) Wi-Fi 6E AX211 160MHzType: Ethernet 802.3 | MAC: DC:97:BA:AE:F2:4A | Speed: Not Connected
Adapter #2: HP 4G LTE-A Pro Cat16 WWAN eSIM
Type: Wireless | MAC: 9C:93:88:55:5C:5A | Speed: Not Connected
Adapter #3: Intel(R) Ethernet Connection (18) I219-LM
Type: Ethernet 802.3 | MAC: 30:13:8B:89:41:FA | Speed: 1000.00 Mbit
Adapter #4: Bluetooth Device (Personal Area Network)
Type: Ethernet 802.3 | MAC: DC:97:BA:AE:F2:4E | Speed: Not Connected
GRAPHICS
Adapter #1: Intel(R) Arc(TM) GraphicsVideo Memory: 31.84 GB
Current Resolution: 2560x1600 @ 120 Hz (32-bit Color)
Driver Version: 32.0.101.5763 (2024-07-07)
Adapter #2: NVIDIA RTX 3000 Ada Generation Laptop GPU
Video Memory: 8.00 GB
Current Resolution: Unknown
Driver Version: 32.0.15.5612 (2024-06-24)
DISPLAY
Display #1: BOE Internal Display 15.9" (2560x1600)Model: 0BBC | S/N: None | Connector: Internal Display (Digital)
Windows Screens
Screen 1: 2560x1600 @ 32 bpp
BATTERY
Battery #1 : P/N: Primary | Mfg: Unknown | Charge Level: 91%
OPERATING SYSTEM
Name: Microsoft Windows 11 Pro 64-bitVersion: 10.0.22631.4460 (Release 2009)
Installation Date: 2024-10-28
Free Memory: 55.38 GB (Physical) | 54.84 GB (Virtual) | 0.59 GB (Paging)
Screensaver: Disabled
Visual Effects Setting: Let Windows Choose
Virtualization Based Security (VBS): Running
Active Power Plan: HP Optimized (Modern Standby (fb5220ff-7e1a-47aa-9a42-50ffbf45c673)