HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
4403
Single Precision Score
1463
Half Precision Score
7123
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 25 2025 02:40 PM |
| Views | 2 |
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% |
3689
686.1 IPS |
|
|
Image Classification (HP)
|
100% |
493
91.7 IPS |
|
|
Image Classification (Q)
|
99% |
6313
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1540
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1037
16.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
3624
58.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8945
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4180
4.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
27625
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
3311
262.6 IPS |
|
|
Object Detection (HP)
|
100% |
685
54.4 IPS |
|
|
Object Detection (Q)
|
86% |
6468
519.8 IPS |
|
|
Face Detection (SP)
|
100% |
9272
110.2 IPS |
|
|
Face Detection (HP)
|
100% |
1561
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
10354
123.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10464
80.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1838
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15335
122.4 IPS |
|
|
Style Transfer (SP)
|
100% |
19196
24.7 IPS |
|
|
Style Transfer (HP)
|
100% |
9759
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
22973
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3088
114.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1884
69.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4518
167.3 IPS |
|
|
Text Classification (SP)
|
100% |
1413
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
732
976.8 IPS |
|
|
Text Classification (Q)
|
97% |
1537
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2007
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
798
13.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3251
65.3 IPS |
