HP HP ZBook Fury 17 G7 Mobile Workstation
Geekbench AI Score
10114
Single Precision Score
14110
Half Precision Score
6784
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | January 17 2025 10:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro RTX 5000 with Max-Q Design |
| 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% |
3791
705.1 IPS |
|
|
Image Classification (HP)
|
100% |
3574
664.7 IPS |
|
|
Image Classification (Q)
|
99% |
3305
616.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
6993
113.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
7938
128.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4676
76.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
51314
59.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
140296
163.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
42050
49.3 IPS |
|
|
Object Detection (SP)
|
100% |
5206
412.9 IPS |
|
|
Object Detection (HP)
|
100% |
8073
640.3 IPS |
|
|
Object Detection (Q)
|
84% |
3885
313.3 IPS |
|
|
Face Detection (SP)
|
100% |
12483
148.3 IPS |
|
|
Face Detection (HP)
|
100% |
20179
239.8 IPS |
|
|
Face Detection (Q)
|
97% |
9875
117.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
26524
204.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
49682
382.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
18196
145.7 IPS |
|
|
Style Transfer (SP)
|
100% |
93305
119.9 IPS |
|
|
Style Transfer (HP)
|
100% |
246514
316.9 IPS |
|
|
Style Transfer (Q)
|
98% |
73529
94.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16340
603.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17181
634.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10147
375.7 IPS |
|
|
Text Classification (SP)
|
100% |
1447
1.93 KIPS |
|
|
Text Classification (HP)
|
99% |
1044
1.39 KIPS |
|
|
Text Classification (Q)
|
97% |
631
845.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2167
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2197
37.9 IPS |
|
|
Machine Translation (Q)
|
70% |
967
18.1 IPS |
