HP HP ZBook 15u G6
Geekbench ML Score
1968
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | October 10 2024 08:18 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | HP HP ZBook 15u G6 |
| Motherboard | HP 8549 |
| Power Plan | HP Optimized (recommand) |
| CPU Information | |
|---|---|
| Name | Intel Core i5-8265U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 142 Stepping 12 |
| Base Frequency | 1.80 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 | 6.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon Pro WX3200 Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
847
158.4 IPS |
|
|
Image Classification (F16)
|
100% |
849
158.8 IPS |
|
|
Image Classification (I8)
|
99% |
719
134.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
881
14.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
885
14.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
778
13.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
12522
15.2 IPS |
|
|
Pose Estimation (F16)
|
100% |
12129
14.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
9162
11.1 IPS |
|
|
Object Detection (F32)
|
100% |
946
70.7 IPS |
|
|
Object Detection (F16)
|
100% |
947
70.7 IPS |
|
|
Object Detection (I8)
|
67% |
836
62.4 IPS |
|
|
Face Detection (F32)
|
100% |
2445
29.1 IPS |
|
|
Face Detection (F16)
|
100% |
2470
29.4 IPS |
|
|
Face Detection (I8)
|
89% |
1882
22.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
5659
43.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
5416
42.0 IPS |
|
|
Depth Estimation (I8)
|
94% |
4492
34.8 IPS |
|
|
Style Transfer (F32)
|
100% |
15826
20.8 IPS |
|
|
Style Transfer (F16)
|
100% |
16588
21.8 IPS |
|
|
Style Transfer (I8)
|
98% |
13692
18.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4190
149.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4156
148.4 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
2738
97.8 IPS |
|
|
Text Classification (F32)
|
100% |
329
473.1 IPS |
|
|
Text Classification (F16)
|
100% |
377
541.7 IPS |
|
|
Text Classification (I8)
|
98% |
227
325.7 IPS |
|
|
Machine Translation (F32)
|
100% |
742
13.7 IPS |
|
|
Machine Translation (F16)
|
100% |
745
13.7 IPS |
|
|
Machine Translation (I8)
|
69% |
486
8.94 IPS |
