HP HP ZBook Power 15.6 inch G10 Mobile Workstation PC
Geekbench ML Score
2680
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 07:41 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | HP HP ZBook Power 15.6 inch G10 Mobile Workstation PC |
| Motherboard | HP 8BEF |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13800H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| L1 Instruction Cache | 32.0 KB x 10 |
| L1 Data Cache | 48.0 KB x 10 |
| L2 Cache | 1.25 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1230
230.2 IPS |
|
|
Image Classification (F16)
|
100% |
1233
230.6 IPS |
|
|
Image Classification (I8)
|
100% |
991
185.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
2088
34.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
1996
33.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
1546
25.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
13151
15.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
13324
16.1 IPS |
|
|
Pose Estimation (I8)
|
100% |
6479
7.85 IPS |
|
|
Object Detection (F32)
|
100% |
1417
105.8 IPS |
|
|
Object Detection (F16)
|
100% |
1495
111.6 IPS |
|
|
Object Detection (I8)
|
54% |
1160
86.6 IPS |
|
|
Face Detection (F32)
|
100% |
3130
37.2 IPS |
|
|
Face Detection (F16)
|
100% |
3137
37.3 IPS |
|
|
Face Detection (I8)
|
89% |
1952
23.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
6587
51.1 IPS |
|
|
Depth Estimation (F16)
|
100% |
6378
49.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
4566
35.4 IPS |
|
|
Style Transfer (F32)
|
100% |
27503
36.2 IPS |
|
|
Style Transfer (F16)
|
100% |
27485
36.2 IPS |
|
|
Style Transfer (I8)
|
98% |
17696
23.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3798
135.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3786
135.2 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1640
58.6 IPS |
|
|
Text Classification (F32)
|
100% |
849
1.22 KIPS |
|
|
Text Classification (F16)
|
100% |
805
1.16 KIPS |
|
|
Text Classification (I8)
|
98% |
470
675.7 IPS |
|
|
Machine Translation (F32)
|
100% |
1107
20.4 IPS |
|
|
Machine Translation (F16)
|
100% |
1091
20.1 IPS |
|
|
Machine Translation (I8)
|
70% |
580
10.7 IPS |
