HP HP ZBook Fury 17 G7 Mobile Workstation
Geekbench AI Score
1787
Single Precision Score
826
Half Precision Score
2440
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | ysy |
| Upload Date | January 17 2025 10:09 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-10850H |
| 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% |
1294
240.6 IPS |
|
|
Image Classification (HP)
|
100% |
302
56.2 IPS |
|
|
Image Classification (Q)
|
96% |
2181
407.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
769
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
467
7.56 IPS |
|
|
Image Segmentation (Q)
|
97% |
1342
21.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2835
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2324
2.71 IPS |
|
|
Pose Estimation (Q)
|
86% |
5433
6.42 IPS |
|
|
Object Detection (SP)
|
100% |
1399
111.0 IPS |
|
|
Object Detection (HP)
|
100% |
386
30.7 IPS |
|
|
Object Detection (Q)
|
58% |
1498
163.7 IPS |
|
|
Face Detection (SP)
|
100% |
2574
30.6 IPS |
|
|
Face Detection (HP)
|
100% |
833
9.90 IPS |
|
|
Face Detection (Q)
|
96% |
3963
47.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3795
29.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1173
9.04 IPS |
|
|
Depth Estimation (Q)
|
78% |
4713
37.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7047
9.06 IPS |
|
|
Style Transfer (HP)
|
100% |
5234
6.73 IPS |
|
|
Style Transfer (Q)
|
87% |
8965
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1263
46.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1157
42.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1613
59.8 IPS |
|
|
Text Classification (SP)
|
100% |
852
1.14 KIPS |
|
|
Text Classification (HP)
|
100% |
480
641.0 IPS |
|
|
Text Classification (Q)
|
97% |
818
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1137
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
412
7.09 IPS |
|
|
Machine Translation (Q)
|
68% |
1424
27.5 IPS |
