HP HP ZBook Fury 15.6 inch G8 Mobile Workstation PC
Geekbench AI Score
2430
Single Precision Score
2461
Half Precision Score
6127
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 08 2025 12:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i7-11850H @ 2.50GHz |
| 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% |
1366
254.1 IPS |
|
|
Image Classification (HP)
|
100% |
1441
267.9 IPS |
|
|
Image Classification (Q)
|
100% |
3615
672.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1823
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
4462
72.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2860
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2894
3.38 IPS |
|
|
Pose Estimation (Q)
|
96% |
11198
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
1400
111.0 IPS |
|
|
Object Detection (HP)
|
100% |
1465
116.2 IPS |
|
|
Object Detection (Q)
|
88% |
4186
335.6 IPS |
|
|
Face Detection (SP)
|
100% |
3572
42.4 IPS |
|
|
Face Detection (HP)
|
100% |
3602
42.8 IPS |
|
|
Face Detection (Q)
|
100% |
10686
127.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3901
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3871
29.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
10949
85.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8272
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8274
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
30767
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1848
68.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1848
68.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6056
224.3 IPS |
|
|
Text Classification (SP)
|
100% |
1499
2.00 KIPS |
|
|
Text Classification (HP)
|
100% |
1449
1.93 KIPS |
|
|
Text Classification (Q)
|
92% |
2006
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2259
38.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2268
39.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2258
38.9 IPS |
