HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
4525
Single Precision Score
1422
Half Precision Score
7246
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 25 2025 02:36 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% |
3667
682.0 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.3 IPS |
|
|
Image Classification (Q)
|
99% |
6228
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1967
31.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
946
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3597
58.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
8988
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
4181
4.88 IPS |
|
|
Pose Estimation (Q)
|
94% |
27331
32.0 IPS |
|
|
Object Detection (SP)
|
100% |
3390
268.9 IPS |
|
|
Object Detection (HP)
|
100% |
627
49.7 IPS |
|
|
Object Detection (Q)
|
86% |
6568
527.9 IPS |
|
|
Face Detection (SP)
|
100% |
9362
111.2 IPS |
|
|
Face Detection (HP)
|
100% |
1537
18.3 IPS |
|
|
Face Detection (Q)
|
97% |
10262
122.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10406
80.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1840
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
15837
126.4 IPS |
|
|
Style Transfer (SP)
|
100% |
18999
24.4 IPS |
|
|
Style Transfer (HP)
|
100% |
9669
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
25090
32.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2966
109.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1887
69.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4778
176.9 IPS |
|
|
Text Classification (SP)
|
100% |
1494
1.99 KIPS |
|
|
Text Classification (HP)
|
100% |
663
884.9 IPS |
|
|
Text Classification (Q)
|
97% |
1537
2.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2000
34.4 IPS |
|
|
Machine Translation (HP)
|
100% |
804
13.8 IPS |
|
|
Machine Translation (Q)
|
65% |
3315
66.6 IPS |
