HP HP ZBook Power 15.6 inch G10 Mobile Workstation PC
Geekbench ML Score
2554
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 25 2024 12:46 PM |
| Views | 2 |
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% |
1243
232.6 IPS |
|
|
Image Classification (F16)
|
100% |
1299
243.0 IPS |
|
|
Image Classification (I8)
|
100% |
1026
192.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
1880
31.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1823
30.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
1379
23.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
9654
11.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
9771
11.8 IPS |
|
|
Pose Estimation (I8)
|
100% |
5329
6.45 IPS |
|
|
Object Detection (F32)
|
100% |
1424
106.3 IPS |
|
|
Object Detection (F16)
|
100% |
1435
107.1 IPS |
|
|
Object Detection (I8)
|
54% |
1139
85.0 IPS |
|
|
Face Detection (F32)
|
100% |
2953
35.1 IPS |
|
|
Face Detection (F16)
|
100% |
2902
34.5 IPS |
|
|
Face Detection (I8)
|
89% |
1956
23.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
6110
47.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
6125
47.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
4440
34.4 IPS |
|
|
Style Transfer (F32)
|
100% |
26407
34.7 IPS |
|
|
Style Transfer (F16)
|
100% |
26499
34.9 IPS |
|
|
Style Transfer (I8)
|
98% |
16778
22.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
3793
135.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
3832
136.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
1607
57.4 IPS |
|
|
Text Classification (F32)
|
100% |
839
1.21 KIPS |
|
|
Text Classification (F16)
|
100% |
857
1.23 KIPS |
|
|
Text Classification (I8)
|
98% |
476
684.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1096
20.2 IPS |
|
|
Machine Translation (F16)
|
100% |
1108
20.4 IPS |
|
|
Machine Translation (I8)
|
70% |
567
10.4 IPS |
