HP HP ZBook Fury 17 G7 Mobile Workstation
Geekbench AI Score
2617
Single Precision Score
2619
Half Precision Score
3873
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | January 17 2025 10:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i7-10850H CPU @ 2.70GHz |
| 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% |
1575
292.8 IPS |
|
|
Image Classification (HP)
|
100% |
1646
306.2 IPS |
|
|
Image Classification (Q)
|
100% |
2407
447.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1746
28.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
2893
47.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3293
3.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
3304
3.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
6598
7.74 IPS |
|
|
Object Detection (SP)
|
100% |
1605
127.3 IPS |
|
|
Object Detection (HP)
|
100% |
1593
126.4 IPS |
|
|
Object Detection (Q)
|
87% |
2517
201.8 IPS |
|
|
Face Detection (SP)
|
100% |
3038
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
3003
35.7 IPS |
|
|
Face Detection (Q)
|
97% |
6887
82.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
4381
33.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4359
33.6 IPS |
|
|
Depth Estimation (Q)
|
81% |
6829
53.9 IPS |
|
|
Style Transfer (SP)
|
100% |
9848
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9549
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18285
23.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1990
73.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1987
73.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3855
142.8 IPS |
|
|
Text Classification (SP)
|
100% |
1717
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1753
2.34 KIPS |
|
|
Text Classification (Q)
|
91% |
849
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2324
40.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2307
39.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2339
40.3 IPS |
