HP HP ZBook Fury 17 G7 Mobile Workstation
Geekbench AI Score
2212
Single Precision Score
1100
Half Precision Score
3412
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 06:59 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10750H |
| 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% |
1717
319.3 IPS |
|
|
Image Classification (HP)
|
100% |
407
75.7 IPS |
|
|
Image Classification (Q)
|
96% |
3149
588.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1010
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
616
9.98 IPS |
|
|
Image Segmentation (Q)
|
97% |
3578
58.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3556
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
3039
3.55 IPS |
|
|
Pose Estimation (Q)
|
86% |
6814
8.06 IPS |
|
|
Object Detection (SP)
|
100% |
1664
132.0 IPS |
|
|
Object Detection (HP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (Q)
|
58% |
2040
222.9 IPS |
|
|
Face Detection (SP)
|
100% |
1929
22.9 IPS |
|
|
Face Detection (HP)
|
100% |
950
11.3 IPS |
|
|
Face Detection (Q)
|
96% |
4797
57.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4334
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1554
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
5786
46.2 IPS |
|
|
Style Transfer (SP)
|
100% |
8933
11.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7640
9.82 IPS |
|
|
Style Transfer (Q)
|
87% |
8063
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1663
61.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1503
55.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3150
116.7 IPS |
|
|
Text Classification (SP)
|
100% |
1574
2.10 KIPS |
|
|
Text Classification (HP)
|
100% |
759
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1127
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
1404
24.2 IPS |
|
|
Machine Translation (HP)
|
100% |
532
9.17 IPS |
|
|
Machine Translation (Q)
|
68% |
1721
33.2 IPS |
