Hewlett-Packard HP ZBook 17 G2
Geekbench ML Score
883
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 03:19 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Hewlett-Packard HP ZBook 17 G2 |
| Motherboard | Hewlett-Packard 2255 |
| CPU Information | |
|---|---|
| Name | Intel Core i7-4930MX |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 32.0 KB x 4 |
| L1 Data Cache | 32.0 KB x 4 |
| L2 Cache | 256 KB x 4 |
| L3 Cache | 8.00 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% |
538
100.7 IPS |
|
|
Image Classification (F16)
|
100% |
519
97.1 IPS |
|
|
Image Classification (I8)
|
97% |
716
134.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
387
6.46 IPS |
|
|
Image Segmentation (F16)
|
100% |
402
6.72 IPS |
|
|
Image Segmentation (I8)
|
97% |
584
9.75 IPS |
|
|
Pose Estimation (F32)
|
100% |
1272
1.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
1314
1.59 IPS |
|
|
Pose Estimation (I8)
|
100% |
1937
2.35 IPS |
|
|
Object Detection (F32)
|
100% |
461
34.4 IPS |
|
|
Object Detection (F16)
|
100% |
467
34.8 IPS |
|
|
Object Detection (I8)
|
60% |
480
35.9 IPS |
|
|
Face Detection (F32)
|
100% |
910
10.8 IPS |
|
|
Face Detection (F16)
|
100% |
874
10.4 IPS |
|
|
Face Detection (I8)
|
87% |
1333
15.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1554
12.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
1523
11.8 IPS |
|
|
Depth Estimation (I8)
|
74% |
2136
16.6 IPS |
|
|
Style Transfer (F32)
|
100% |
3524
4.64 IPS |
|
|
Style Transfer (F16)
|
100% |
3582
4.71 IPS |
|
|
Style Transfer (I8)
|
85% |
4327
5.69 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
709
25.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
707
25.3 IPS |
|
|
Image Super-Resolution (I8)
|
97% |
895
32.0 IPS |
|
|
Text Classification (F32)
|
100% |
582
836.7 IPS |
|
|
Text Classification (F16)
|
100% |
587
843.7 IPS |
|
|
Text Classification (I8)
|
94% |
231
331.8 IPS |
|
|
Machine Translation (F32)
|
100% |
682
12.6 IPS |
|
|
Machine Translation (F16)
|
100% |
633
11.7 IPS |
|
|
Machine Translation (I8)
|
67% |
900
16.6 IPS |
