HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
4502
Single Precision Score
1444
Half Precision Score
7225
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 25 2025 02:30 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13850HX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | HP HP ZBook Fury 16 G11 Mobile Workstation PC |
| Motherboard | HP 8CA4 |
| Power Plan | UoA-Power Plan-Peak-System on and monitor on |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13850HX |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3652
679.1 IPS |
|
|
Image Classification (HP)
|
100% |
500
92.9 IPS |
|
|
Image Classification (Q)
|
99% |
6310
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1827
29.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1054
17.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3431
55.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8926
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4169
4.86 IPS |
|
|
Pose Estimation (Q)
|
94% |
27186
31.9 IPS |
|
|
Object Detection (SP)
|
100% |
3393
269.1 IPS |
|
|
Object Detection (HP)
|
100% |
630
49.9 IPS |
|
|
Object Detection (Q)
|
86% |
6590
529.6 IPS |
|
|
Face Detection (SP)
|
100% |
9711
115.4 IPS |
|
|
Face Detection (HP)
|
100% |
1607
19.1 IPS |
|
|
Face Detection (Q)
|
97% |
10232
122.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10571
81.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1853
14.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
15620
124.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19591
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9883
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25118
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3200
118.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1886
69.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4687
173.5 IPS |
|
|
Text Classification (SP)
|
100% |
1271
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
699
932.9 IPS |
|
|
Text Classification (Q)
|
97% |
1596
2.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
2072
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
736
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3330
66.9 IPS |
