HP HP ZBook Power 15.6 inch G10 Mobile Workstation PC
Geekbench ML Score
9848
ONNX DirectML Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | August 16 2024 07:43 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% |
4307
805.9 IPS |
|
|
Image Classification (F16)
|
100% |
4900
917.0 IPS |
|
|
Image Classification (I8)
|
100% |
4075
762.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
6164
102.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
6385
106.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
5743
95.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
56120
68.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
58812
71.2 IPS |
|
|
Pose Estimation (I8)
|
100% |
49132
59.5 IPS |
|
|
Object Detection (F32)
|
100% |
4449
332.2 IPS |
|
|
Object Detection (F16)
|
100% |
4057
302.9 IPS |
|
|
Object Detection (I8)
|
61% |
4261
318.1 IPS |
|
|
Face Detection (F32)
|
100% |
14437
171.7 IPS |
|
|
Face Detection (F16)
|
100% |
14294
170.0 IPS |
|
|
Face Detection (I8)
|
89% |
11082
131.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
26911
208.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
21542
167.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
21450
166.3 IPS |
|
|
Style Transfer (F32)
|
100% |
108123
142.2 IPS |
|
|
Style Transfer (F16)
|
100% |
86532
113.8 IPS |
|
|
Style Transfer (I8)
|
98% |
81334
107.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
17998
642.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
17606
628.8 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
13295
474.8 IPS |
|
|
Text Classification (F32)
|
100% |
1396
2.01 KIPS |
|
|
Text Classification (F16)
|
100% |
1496
2.15 KIPS |
|
|
Text Classification (I8)
|
98% |
1076
1.55 KIPS |
|
|
Machine Translation (F32)
|
100% |
2882
53.0 IPS |
|
|
Machine Translation (F16)
|
100% |
2872
52.9 IPS |
|
|
Machine Translation (I8)
|
70% |
1538
28.3 IPS |
