HP HP ZBook Fury 17 G7 Mobile Workstation
Geekbench AI Score
2872
Single Precision Score
2870
Half Precision Score
4561
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 07:22 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10750H CPU @ 2.60GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Fury 17 G7 Mobile Workstation |
| Motherboard | HP 8780 |
| Power Plan | Bilanciato |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10750H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.59 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2007
373.2 IPS |
|
|
Image Classification (HP)
|
100% |
1842
342.5 IPS |
|
|
Image Classification (Q)
|
100% |
3136
583.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1769
28.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3444
56.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4020
4.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
3808
4.44 IPS |
|
|
Pose Estimation (Q)
|
94% |
7642
8.96 IPS |
|
|
Object Detection (SP)
|
100% |
1823
144.6 IPS |
|
|
Object Detection (HP)
|
100% |
1799
142.7 IPS |
|
|
Object Detection (Q)
|
87% |
3321
266.4 IPS |
|
|
Face Detection (SP)
|
100% |
1967
23.4 IPS |
|
|
Face Detection (HP)
|
100% |
2197
26.1 IPS |
|
|
Face Detection (Q)
|
97% |
8611
102.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
4636
35.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4756
36.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
8664
68.3 IPS |
|
|
Style Transfer (SP)
|
100% |
11281
14.5 IPS |
|
|
Style Transfer (HP)
|
100% |
11104
14.3 IPS |
|
|
Style Transfer (Q)
|
98% |
22817
29.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2336
86.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2312
85.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5141
190.4 IPS |
|
|
Text Classification (SP)
|
100% |
2344
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
2338
3.12 KIPS |
|
|
Text Classification (Q)
|
91% |
834
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2631
45.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2717
46.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1948
33.6 IPS |
