HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
6419
Single Precision Score
5775
Half Precision Score
13756
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 25 2025 03:38 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% |
4103
762.9 IPS |
|
|
Image Classification (HP)
|
100% |
4050
753.2 IPS |
|
|
Image Classification (Q)
|
100% |
8759
1.63 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5264
85.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
5272
85.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9642
156.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
7878
9.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
7676
8.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
26453
31.0 IPS |
|
|
Object Detection (SP)
|
100% |
3632
288.1 IPS |
|
|
Object Detection (HP)
|
100% |
3744
297.0 IPS |
|
|
Object Detection (Q)
|
88% |
9086
728.3 IPS |
|
|
Face Detection (SP)
|
100% |
10638
126.4 IPS |
|
|
Face Detection (HP)
|
100% |
6597
78.4 IPS |
|
|
Face Detection (Q)
|
100% |
22071
262.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
9604
74.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
9588
73.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
24071
187.2 IPS |
|
|
Style Transfer (SP)
|
100% |
22041
28.3 IPS |
|
|
Style Transfer (HP)
|
100% |
13148
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
65683
84.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4846
178.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4654
171.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14817
548.7 IPS |
|
|
Text Classification (SP)
|
100% |
3541
4.73 KIPS |
|
|
Text Classification (HP)
|
100% |
3506
4.68 KIPS |
|
|
Text Classification (Q)
|
92% |
4896
6.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
4977
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4963
85.5 IPS |
|
|
Machine Translation (Q)
|
100% |
4722
81.3 IPS |
