HP HP ZBook Fury 15.6 inch G8 Mobile Workstation PC
Geekbench AI Score
1579
Single Precision Score
669
Half Precision Score
2551
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 08 2025 12:51 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11850H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | HP HP ZBook Fury 15.6 inch G8 Mobile Workstation PC |
| Motherboard | HP 8870 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11850H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1130
210.1 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.3 IPS |
|
|
Image Classification (Q)
|
99% |
2668
497.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
387
6.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
1304
21.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2450
2.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2045
2.39 IPS |
|
|
Pose Estimation (Q)
|
94% |
9109
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
1250
99.2 IPS |
|
|
Object Detection (HP)
|
100% |
291
23.1 IPS |
|
|
Object Detection (Q)
|
86% |
2255
181.3 IPS |
|
|
Face Detection (SP)
|
100% |
2417
28.7 IPS |
|
|
Face Detection (HP)
|
100% |
705
8.38 IPS |
|
|
Face Detection (Q)
|
97% |
4169
49.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3306
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
943
7.27 IPS |
|
|
Depth Estimation (Q)
|
78% |
6503
51.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6102
7.84 IPS |
|
|
Style Transfer (HP)
|
100% |
4750
6.11 IPS |
|
|
Style Transfer (Q)
|
98% |
9980
12.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1153
42.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
936
34.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1926
71.3 IPS |
|
|
Text Classification (SP)
|
100% |
704
939.3 IPS |
|
|
Text Classification (HP)
|
100% |
357
476.6 IPS |
|
|
Text Classification (Q)
|
97% |
247
331.1 IPS |
|
|
Machine Translation (SP)
|
100% |
917
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
341
5.87 IPS |
|
|
Machine Translation (Q)
|
65% |
1273
25.6 IPS |
