Hewlett-Packard HP ZBook 17 G2
Geekbench ML Score
334
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 17 2024 03:15 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 | DirectML |
| Device | NVIDIA Quadro K5100M |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
312
58.4 IPS |
|
|
Image Classification (F16)
|
100% |
307
57.4 IPS |
|
|
Image Classification (I8)
|
100% |
109
20.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
298
4.97 IPS |
|
|
Image Segmentation (F16)
|
100% |
297
4.96 IPS |
|
|
Image Segmentation (I8)
|
98% |
130
2.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
252
0.30 IPS |
|
|
Pose Estimation (F16)
|
100% |
252
0.30 IPS |
|
|
Pose Estimation (I8)
|
100% |
320
0.39 IPS |
|
|
Object Detection (F32)
|
100% |
213
15.9 IPS |
|
|
Object Detection (F16)
|
100% |
213
15.9 IPS |
|
|
Object Detection (I8)
|
64% |
112
8.35 IPS |
|
|
Face Detection (F32)
|
100% |
941
11.2 IPS |
|
|
Face Detection (F16)
|
100% |
941
11.2 IPS |
|
|
Face Detection (I8)
|
87% |
188
2.23 IPS |
|
|
Depth Estimation (F32)
|
100% |
673
5.22 IPS |
|
|
Depth Estimation (F16)
|
100% |
673
5.22 IPS |
|
|
Depth Estimation (I8)
|
95% |
374
2.90 IPS |
|
|
Style Transfer (F32)
|
100% |
1794
2.36 IPS |
|
|
Style Transfer (F16)
|
100% |
1791
2.36 IPS |
|
|
Style Transfer (I8)
|
98% |
1218
1.60 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
392
14.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
393
14.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
219
7.84 IPS |
|
|
Text Classification (F32)
|
100% |
496
712.7 IPS |
|
|
Text Classification (F16)
|
100% |
490
704.7 IPS |
|
|
Text Classification (I8)
|
98% |
52
74.9 IPS |
|
|
Machine Translation (F32)
|
100% |
448
8.25 IPS |
|
|
Machine Translation (F16)
|
100% |
449
8.27 IPS |
|
|
Machine Translation (I8)
|
71% |
48
0.88 IPS |
