HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
5839
Single Precision Score
6079
Half Precision Score
13401
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 26 2025 02:25 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% |
4073
757.4 IPS |
|
|
Image Classification (HP)
|
100% |
3842
714.4 IPS |
|
|
Image Classification (Q)
|
100% |
8706
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4957
80.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4965
80.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9463
153.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
7263
8.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
7132
8.32 IPS |
|
|
Pose Estimation (Q)
|
96% |
25905
30.3 IPS |
|
|
Object Detection (SP)
|
100% |
3451
273.8 IPS |
|
|
Object Detection (HP)
|
100% |
3443
273.1 IPS |
|
|
Object Detection (Q)
|
88% |
8588
688.5 IPS |
|
|
Face Detection (SP)
|
100% |
6294
74.8 IPS |
|
|
Face Detection (HP)
|
100% |
10127
120.3 IPS |
|
|
Face Detection (Q)
|
100% |
20423
242.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8945
68.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
9064
69.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
23523
183.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21046
27.1 IPS |
|
|
Style Transfer (HP)
|
100% |
20981
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
71746
92.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4548
168.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4453
164.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14039
519.9 IPS |
|
|
Text Classification (SP)
|
100% |
3398
4.54 KIPS |
|
|
Text Classification (HP)
|
100% |
3597
4.80 KIPS |
|
|
Text Classification (Q)
|
92% |
4459
5.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
4977
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4777
82.3 IPS |
|
|
Machine Translation (Q)
|
100% |
4726
81.4 IPS |
