HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
4473
Single Precision Score
1418
Half Precision Score
7007
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 26 2025 01:16 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3504
651.7 IPS |
|
|
Image Classification (HP)
|
100% |
480
89.2 IPS |
|
|
Image Classification (Q)
|
99% |
6225
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1913
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
964
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3424
55.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8787
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
4091
4.77 IPS |
|
|
Pose Estimation (Q)
|
94% |
26670
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
3254
258.1 IPS |
|
|
Object Detection (HP)
|
100% |
614
48.7 IPS |
|
|
Object Detection (Q)
|
86% |
6454
518.7 IPS |
|
|
Face Detection (SP)
|
100% |
9180
109.1 IPS |
|
|
Face Detection (HP)
|
100% |
1673
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
9877
117.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10258
79.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1830
14.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
15686
125.2 IPS |
|
|
Style Transfer (SP)
|
100% |
19256
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
9895
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24073
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3252
120.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1910
70.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4453
164.9 IPS |
|
|
Text Classification (SP)
|
100% |
1463
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
649
866.3 IPS |
|
|
Text Classification (Q)
|
97% |
1477
1.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
1941
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3171
63.7 IPS |
