HP HP ZBook 15 G5
Geekbench ML Score
3015
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | May 18 2024 10:00 AM |
| Views | 7 |
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 | DirectML |
| Device | NVIDIA Quadro P2000 |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1287
240.9 IPS |
|
|
Image Classification (F16)
|
100% |
1287
240.8 IPS |
|
|
Image Classification (I8)
|
100% |
1072
200.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1780
29.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1781
29.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1514
25.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
12472
15.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
12414
15.0 IPS |
|
|
Pose Estimation (I8)
|
100% |
10888
13.2 IPS |
|
|
Object Detection (F32)
|
100% |
1338
99.9 IPS |
|
|
Object Detection (F16)
|
100% |
1384
103.3 IPS |
|
|
Object Detection (I8)
|
58% |
1189
88.8 IPS |
|
|
Face Detection (F32)
|
100% |
2706
32.2 IPS |
|
|
Face Detection (F16)
|
100% |
2716
32.3 IPS |
|
|
Face Detection (I8)
|
89% |
2204
26.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6183
48.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
6228
48.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
5204
40.4 IPS |
|
|
Style Transfer (F32)
|
100% |
27409
36.1 IPS |
|
|
Style Transfer (F16)
|
100% |
27447
36.1 IPS |
|
|
Style Transfer (I8)
|
98% |
22504
29.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
5218
186.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5160
184.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
3729
133.2 IPS |
|
|
Text Classification (F32)
|
100% |
950
1.36 KIPS |
|
|
Text Classification (F16)
|
100% |
1059
1.52 KIPS |
|
|
Text Classification (I8)
|
98% |
560
804.3 IPS |
|
|
Machine Translation (F32)
|
100% |
1679
30.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1679
30.9 IPS |
|
|
Machine Translation (I8)
|
70% |
865
15.9 IPS |
