HP HP ZBook 15 G3
Geekbench ML Score
1481
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| User | saiht |
| Upload Date | July 25 2024 06:56 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP ZBook 15 G3 |
| Motherboard | HP 80D5 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-6820HQ |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 94 Stepping 3 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro M1000M |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
631
118.1 IPS |
|
|
Image Classification (F16)
|
100% |
611
114.4 IPS |
|
|
Image Classification (I8)
|
100% |
503
94.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
881
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
896
15.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
721
12.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
5225
6.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
5311
6.43 IPS |
|
|
Pose Estimation (I8)
|
100% |
4669
5.65 IPS |
|
|
Object Detection (F32)
|
100% |
696
52.0 IPS |
|
|
Object Detection (F16)
|
100% |
686
51.2 IPS |
|
|
Object Detection (I8)
|
60% |
569
42.5 IPS |
|
|
Face Detection (F32)
|
100% |
1327
15.8 IPS |
|
|
Face Detection (F16)
|
100% |
1321
15.7 IPS |
|
|
Face Detection (I8)
|
89% |
1048
12.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
3039
23.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
3020
23.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
2534
19.6 IPS |
|
|
Style Transfer (F32)
|
100% |
8902
11.7 IPS |
|
|
Style Transfer (F16)
|
100% |
8929
11.7 IPS |
|
|
Style Transfer (I8)
|
98% |
7941
10.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2771
99.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2493
89.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1759
62.8 IPS |
|
|
Text Classification (F32)
|
100% |
618
888.3 IPS |
|
|
Text Classification (F16)
|
100% |
591
848.8 IPS |
|
|
Text Classification (I8)
|
98% |
349
501.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1222
22.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1222
22.5 IPS |
|
|
Machine Translation (I8)
|
68% |
543
10.0 IPS |
