HP HP ZBook Power 15.6 inch G10 Mobile Workstation PC
Geekbench ML Score
10172
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | September 25 2024 12:43 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 | NVIDIA RTX 2000 Ada Generation Laptop GPU |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4897
916.3 IPS |
|
|
Image Classification (F16)
|
100% |
5042
943.5 IPS |
|
|
Image Classification (I8)
|
100% |
4462
834.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
7576
126.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
7495
125.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
6619
110.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
50445
61.1 IPS |
|
|
Pose Estimation (F16)
|
100% |
57685
69.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
47775
57.9 IPS |
|
|
Object Detection (F32)
|
100% |
4237
316.3 IPS |
|
|
Object Detection (F16)
|
100% |
3850
287.5 IPS |
|
|
Object Detection (I8)
|
61% |
3658
273.1 IPS |
|
|
Face Detection (F32)
|
100% |
13243
157.5 IPS |
|
|
Face Detection (F16)
|
100% |
13191
156.8 IPS |
|
|
Face Detection (I8)
|
89% |
10950
130.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
22989
178.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
28540
221.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
23727
184.0 IPS |
|
|
Style Transfer (F32)
|
100% |
102372
134.7 IPS |
|
|
Style Transfer (F16)
|
100% |
91938
120.9 IPS |
|
|
Style Transfer (I8)
|
98% |
90632
119.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
20189
721.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
15737
562.0 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
11920
425.7 IPS |
|
|
Text Classification (F32)
|
100% |
1893
2.72 KIPS |
|
|
Text Classification (F16)
|
100% |
1887
2.71 KIPS |
|
|
Text Classification (I8)
|
98% |
1171
1.68 KIPS |
|
|
Machine Translation (F32)
|
100% |
2792
51.4 IPS |
|
|
Machine Translation (F16)
|
100% |
2794
51.4 IPS |
|
|
Machine Translation (I8)
|
70% |
1548
28.5 IPS |
