HP HP ZBook Fury 17 G7 Mobile Workstation
Geekbench AI Score
401
Single Precision Score
458
Half Precision Score
328
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | January 17 2025 10:29 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| 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% |
168
31.2 IPS |
|
|
Image Classification (HP)
|
100% |
191
35.6 IPS |
|
|
Image Classification (Q)
|
100% |
170
31.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
275
4.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
206
3.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
907
1.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
1445
1.69 IPS |
|
|
Pose Estimation (Q)
|
97% |
842
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
205
16.3 IPS |
|
|
Object Detection (HP)
|
98% |
205
16.3 IPS |
|
|
Object Detection (Q)
|
86% |
188
15.1 IPS |
|
|
Face Detection (SP)
|
100% |
409
4.86 IPS |
|
|
Face Detection (HP)
|
100% |
456
5.41 IPS |
|
|
Face Detection (Q)
|
97% |
367
4.38 IPS |
|
|
Depth Estimation (SP)
|
100% |
711
5.47 IPS |
|
|
Depth Estimation (HP)
|
98% |
883
6.83 IPS |
|
|
Depth Estimation (Q)
|
77% |
617
4.94 IPS |
|
|
Style Transfer (SP)
|
100% |
2386
3.07 IPS |
|
|
Style Transfer (HP)
|
100% |
3551
4.57 IPS |
|
|
Style Transfer (Q)
|
98% |
2106
2.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
480
17.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
676
25.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
380
14.1 IPS |
|
|
Text Classification (SP)
|
100% |
209
279.3 IPS |
|
|
Text Classification (HP)
|
100% |
132
176.2 IPS |
|
|
Text Classification (Q)
|
97% |
123
165.4 IPS |
|
|
Machine Translation (SP)
|
100% |
206
3.55 IPS |
|
|
Machine Translation (HP)
|
100% |
208
3.58 IPS |
|
|
Machine Translation (Q)
|
70% |
120
2.25 IPS |
