HP HP ZBook 15 G5
Geekbench ML Score
1250
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 18 2024 09:40 AM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | HP HP ZBook 15 G5 |
| Motherboard | HP 842A |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-8850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 10 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| L1 Instruction Cache | 32.0 KB x 6 |
| L1 Data Cache | 32.0 KB x 6 |
| L2 Cache | 256 KB x 6 |
| L3 Cache | 9.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
598
112.0 IPS |
|
|
Image Classification (F16)
|
100% |
618
115.7 IPS |
|
|
Image Classification (I8)
|
97% |
1122
209.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
541
9.03 IPS |
|
|
Image Segmentation (F16)
|
100% |
504
8.42 IPS |
|
|
Image Segmentation (I8)
|
97% |
870
14.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1976
2.39 IPS |
|
|
Pose Estimation (F16)
|
100% |
2540
3.08 IPS |
|
|
Pose Estimation (I8)
|
100% |
4631
5.61 IPS |
|
|
Object Detection (F32)
|
100% |
766
57.2 IPS |
|
|
Object Detection (F16)
|
100% |
738
55.1 IPS |
|
|
Object Detection (I8)
|
60% |
633
47.3 IPS |
|
|
Face Detection (F32)
|
100% |
1274
15.2 IPS |
|
|
Face Detection (F16)
|
100% |
1246
14.8 IPS |
|
|
Face Detection (I8)
|
87% |
1828
21.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
3003
23.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
2140
16.6 IPS |
|
|
Depth Estimation (I8)
|
74% |
3968
30.8 IPS |
|
|
Style Transfer (F32)
|
100% |
5300
6.97 IPS |
|
|
Style Transfer (F16)
|
100% |
5399
7.10 IPS |
|
|
Style Transfer (I8)
|
85% |
7215
9.49 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
921
32.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
892
31.9 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
1273
45.5 IPS |
|
|
Text Classification (F32)
|
100% |
741
1.07 KIPS |
|
|
Text Classification (F16)
|
100% |
591
849.0 IPS |
|
|
Text Classification (I8)
|
94% |
182
262.2 IPS |
|
|
Machine Translation (F32)
|
100% |
833
15.3 IPS |
|
|
Machine Translation (F16)
|
100% |
849
15.6 IPS |
|
|
Machine Translation (I8)
|
67% |
1121
20.6 IPS |
