HP HP ZBook Fury 17 G7 Mobile Workstation
Geekbench AI Score
720
Single Precision Score
1042
Half Precision Score
989
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | January 17 2025 10:58 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 17 G7 Mobile Workstation |
| Motherboard | HP 8780 |
| Power Plan | Oszczdzanie energii |
| CPU Information | |
|---|---|
| Name | Intel Core i7-10850H |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 2 |
| Base Frequency | 2.71 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
459
85.4 IPS |
|
|
Image Classification (HP)
|
100% |
725
134.8 IPS |
|
|
Image Classification (Q)
|
100% |
668
124.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
604
9.80 IPS |
|
|
Image Segmentation (HP)
|
100% |
895
14.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
850
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1038
1.21 IPS |
|
|
Pose Estimation (HP)
|
99% |
951
1.11 IPS |
|
|
Pose Estimation (Q)
|
97% |
1431
1.68 IPS |
|
|
Object Detection (SP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (HP)
|
99% |
709
56.4 IPS |
|
|
Object Detection (Q)
|
88% |
662
53.1 IPS |
|
|
Face Detection (SP)
|
100% |
1500
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
2300
27.3 IPS |
|
|
Face Detection (Q)
|
97% |
1999
23.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1239
9.54 IPS |
|
|
Depth Estimation (HP)
|
98% |
2168
16.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
1975
15.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2909
3.74 IPS |
|
|
Style Transfer (HP)
|
100% |
3911
5.03 IPS |
|
|
Style Transfer (Q)
|
98% |
3500
4.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
519
19.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
931
34.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
888
32.9 IPS |
|
|
Text Classification (SP)
|
71% |
304
439.8 IPS |
|
|
Text Classification (HP)
|
71% |
370
534.8 IPS |
|
|
Text Classification (Q)
|
92% |
268
360.2 IPS |
|
|
Machine Translation (SP)
|
100% |
359
6.19 IPS |
|
|
Machine Translation (HP)
|
97% |
515
8.91 IPS |
|
|
Machine Translation (Q)
|
98% |
510
8.82 IPS |
