HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
5864
Single Precision Score
6036
Half Precision Score
13498
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 26 2025 01:47 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
4122
766.6 IPS |
|
|
Image Classification (HP)
|
100% |
4050
753.2 IPS |
|
|
Image Classification (Q)
|
100% |
8801
1.64 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5157
83.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5180
84.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
9837
159.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
7486
8.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
7342
8.57 IPS |
|
|
Pose Estimation (Q)
|
96% |
25251
29.6 IPS |
|
|
Object Detection (SP)
|
100% |
3482
276.2 IPS |
|
|
Object Detection (HP)
|
100% |
3487
276.6 IPS |
|
|
Object Detection (Q)
|
88% |
8644
692.9 IPS |
|
|
Face Detection (SP)
|
100% |
6234
74.1 IPS |
|
|
Face Detection (HP)
|
100% |
10000
118.8 IPS |
|
|
Face Detection (Q)
|
100% |
21324
253.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
8860
68.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
8942
68.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
22435
174.5 IPS |
|
|
Style Transfer (SP)
|
100% |
20786
26.7 IPS |
|
|
Style Transfer (HP)
|
100% |
18585
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
72447
93.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4372
161.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4450
164.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14181
525.2 IPS |
|
|
Text Classification (SP)
|
100% |
3503
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
3555
4.74 KIPS |
|
|
Text Classification (Q)
|
92% |
4735
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
4939
85.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4551
78.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4567
78.7 IPS |
