HP HP ZBook Fury 15 G7 Mobile Workstation
Geekbench AI Score
1633
Single Precision Score
2292
Half Precision Score
2198
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rintalahri |
| Upload Date | June 12 2025 08:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Fury 15 G7 Mobile Workstation |
| Motherboard | HP 8783 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10885H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1009
187.6 IPS |
|
|
Image Classification (HP)
|
100% |
1587
295.2 IPS |
|
|
Image Classification (Q)
|
100% |
1447
269.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1466
23.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2274
36.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2109
34.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2695
3.14 IPS |
|
|
Pose Estimation (HP)
|
99% |
2474
2.90 IPS |
|
|
Pose Estimation (Q)
|
97% |
3685
4.32 IPS |
|
|
Object Detection (SP)
|
100% |
1002
79.4 IPS |
|
|
Object Detection (HP)
|
99% |
1585
126.1 IPS |
|
|
Object Detection (Q)
|
88% |
1476
118.4 IPS |
|
|
Face Detection (SP)
|
100% |
2982
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
4775
56.7 IPS |
|
|
Face Detection (Q)
|
97% |
4223
50.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3065
23.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5123
39.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
4657
36.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7546
9.70 IPS |
|
|
Style Transfer (HP)
|
100% |
10050
12.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9041
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1294
47.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2228
82.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2137
79.1 IPS |
|
|
Text Classification (SP)
|
71% |
537
777.5 IPS |
|
|
Text Classification (HP)
|
71% |
608
879.3 IPS |
|
|
Text Classification (Q)
|
92% |
493
662.8 IPS |
|
|
Machine Translation (SP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (HP)
|
97% |
852
14.7 IPS |
|
|
Machine Translation (Q)
|
98% |
848
14.7 IPS |
