HP HP ZBook Power 15.6 inch G10 Mobile Workstation PC
Geekbench ML Score
2275
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 25 2024 12:41 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | HP HP ZBook Power 15.6 inch G10 Mobile Workstation PC |
| Motherboard | HP 8BEF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1238
231.7 IPS |
|
|
Image Classification (F16)
|
100% |
1414
264.7 IPS |
|
|
Image Classification (I8)
|
97% |
1858
347.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1164
19.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1106
18.5 IPS |
|
|
Image Segmentation (I8)
|
97% |
1718
28.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
3547
4.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
3524
4.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
6526
7.90 IPS |
|
|
Object Detection (F32)
|
100% |
1290
96.3 IPS |
|
|
Object Detection (F16)
|
100% |
1467
109.5 IPS |
|
|
Object Detection (I8)
|
60% |
1109
82.8 IPS |
|
|
Face Detection (F32)
|
100% |
3051
36.3 IPS |
|
|
Face Detection (F16)
|
100% |
2735
32.5 IPS |
|
|
Face Detection (I8)
|
87% |
3233
38.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
4607
35.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
4139
32.1 IPS |
|
|
Depth Estimation (I8)
|
74% |
5968
46.3 IPS |
|
|
Style Transfer (F32)
|
100% |
8114
10.7 IPS |
|
|
Style Transfer (F16)
|
100% |
8409
11.1 IPS |
|
|
Style Transfer (I8)
|
85% |
11057
14.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2070
73.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1930
68.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
2855
102.0 IPS |
|
|
Text Classification (F32)
|
100% |
1189
1.71 KIPS |
|
|
Text Classification (F16)
|
100% |
1227
1.76 KIPS |
|
|
Text Classification (I8)
|
94% |
382
548.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1434
26.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1325
24.4 IPS |
|
|
Machine Translation (I8)
|
67% |
1502
27.6 IPS |
