HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
5936
Single Precision Score
6142
Half Precision Score
12897
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 26 2025 01:52 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% |
4050
753.2 IPS |
|
|
Image Classification (HP)
|
100% |
4082
759.1 IPS |
|
|
Image Classification (Q)
|
100% |
8787
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5076
82.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5099
82.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
9732
157.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7301
8.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
7204
8.41 IPS |
|
|
Pose Estimation (Q)
|
96% |
25685
30.1 IPS |
|
|
Object Detection (SP)
|
100% |
3470
275.2 IPS |
|
|
Object Detection (HP)
|
100% |
3423
271.5 IPS |
|
|
Object Detection (Q)
|
88% |
8792
704.8 IPS |
|
|
Face Detection (SP)
|
100% |
9796
116.4 IPS |
|
|
Face Detection (HP)
|
100% |
9898
117.6 IPS |
|
|
Face Detection (Q)
|
100% |
20878
248.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
8795
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
8935
68.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
22741
176.9 IPS |
|
|
Style Transfer (SP)
|
100% |
15276
19.6 IPS |
|
|
Style Transfer (HP)
|
100% |
20806
26.7 IPS |
|
|
Style Transfer (Q)
|
98% |
42307
54.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4434
163.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4466
164.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14009
518.8 IPS |
|
|
Text Classification (SP)
|
100% |
3509
4.68 KIPS |
|
|
Text Classification (HP)
|
100% |
3536
4.72 KIPS |
|
|
Text Classification (Q)
|
92% |
4813
6.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
5100
87.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5130
88.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4871
83.9 IPS |
