HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
6291
Single Precision Score
6217
Half Precision Score
13825
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 25 2025 03:42 PM |
| Views | 2 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4053
753.7 IPS |
|
|
Image Classification (HP)
|
100% |
4022
747.9 IPS |
|
|
Image Classification (Q)
|
100% |
8609
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5161
83.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
4829
78.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
9766
158.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7805
9.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
7318
8.54 IPS |
|
|
Pose Estimation (Q)
|
96% |
25963
30.4 IPS |
|
|
Object Detection (SP)
|
100% |
3591
284.8 IPS |
|
|
Object Detection (HP)
|
100% |
3557
282.1 IPS |
|
|
Object Detection (Q)
|
88% |
8924
715.3 IPS |
|
|
Face Detection (SP)
|
100% |
10262
121.9 IPS |
|
|
Face Detection (HP)
|
100% |
10250
121.8 IPS |
|
|
Face Detection (Q)
|
100% |
21626
257.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
9281
71.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9373
72.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
23951
186.3 IPS |
|
|
Style Transfer (SP)
|
100% |
21558
27.7 IPS |
|
|
Style Transfer (HP)
|
100% |
21928
28.2 IPS |
|
|
Style Transfer (Q)
|
98% |
76416
98.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4547
167.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4689
173.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14317
530.2 IPS |
|
|
Text Classification (SP)
|
100% |
3569
4.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3518
4.70 KIPS |
|
|
Text Classification (Q)
|
92% |
4872
6.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
4975
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4913
84.6 IPS |
|
|
Machine Translation (Q)
|
100% |
4743
81.7 IPS |
