HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
4395
Single Precision Score
1383
Half Precision Score
6822
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 26 2025 01:13 PM |
| Views | 9 |
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% |
3567
663.3 IPS |
|
|
Image Classification (HP)
|
100% |
506
94.1 IPS |
|
|
Image Classification (Q)
|
99% |
5939
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1821
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1029
16.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
3401
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8689
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
4042
4.72 IPS |
|
|
Pose Estimation (Q)
|
94% |
26856
31.5 IPS |
|
|
Object Detection (SP)
|
100% |
3361
266.6 IPS |
|
|
Object Detection (HP)
|
100% |
608
48.2 IPS |
|
|
Object Detection (Q)
|
86% |
6279
504.6 IPS |
|
|
Face Detection (SP)
|
100% |
9241
109.8 IPS |
|
|
Face Detection (HP)
|
100% |
1528
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
9616
114.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10068
77.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1802
13.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
14298
114.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18303
23.5 IPS |
|
|
Style Transfer (HP)
|
100% |
9667
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
22368
28.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2945
108.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1801
66.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4437
164.3 IPS |
|
|
Text Classification (SP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
605
807.2 IPS |
|
|
Text Classification (Q)
|
97% |
1432
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
1938
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3285
66.0 IPS |
