HP HP ZBook Fury 15 G7 Mobile Workstation
Geekbench AI Score
1817
Single Precision Score
858
Half Precision Score
2461
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 12:08 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10850H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Fury 15 G7 Mobile Workstation |
| Motherboard | HP 8783 |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1687
313.7 IPS |
|
|
Image Classification (HP)
|
100% |
387
72.1 IPS |
|
|
Image Classification (Q)
|
96% |
2474
462.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
558
9.05 IPS |
|
|
Image Segmentation (Q)
|
97% |
1567
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2902
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2265
2.64 IPS |
|
|
Pose Estimation (Q)
|
86% |
4868
5.75 IPS |
|
|
Object Detection (SP)
|
100% |
1281
101.6 IPS |
|
|
Object Detection (HP)
|
100% |
427
33.8 IPS |
|
|
Object Detection (Q)
|
58% |
1491
162.9 IPS |
|
|
Face Detection (SP)
|
100% |
2741
32.6 IPS |
|
|
Face Detection (HP)
|
100% |
918
10.9 IPS |
|
|
Face Detection (Q)
|
96% |
4053
48.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3339
25.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1225
9.44 IPS |
|
|
Depth Estimation (Q)
|
78% |
4605
36.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6598
8.48 IPS |
|
|
Style Transfer (HP)
|
100% |
5036
6.47 IPS |
|
|
Style Transfer (Q)
|
87% |
8039
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1013
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
952
35.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1547
57.3 IPS |
|
|
Text Classification (SP)
|
100% |
916
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
456
608.4 IPS |
|
|
Text Classification (Q)
|
97% |
871
1.17 KIPS |
|
|
Machine Translation (SP)
|
100% |
1179
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
425
7.33 IPS |
|
|
Machine Translation (Q)
|
68% |
1438
27.8 IPS |
