HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
2636
Single Precision Score
3850
Half Precision Score
5975
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 25 2025 03:47 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) RaptorLake-S Mobile Graphics Controller (iGPU) |
| 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% |
1565
291.0 IPS |
|
|
Image Classification (HP)
|
100% |
2643
491.4 IPS |
|
|
Image Classification (Q)
|
99% |
3954
737.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2432
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
3898
63.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
4617
74.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4332
5.05 IPS |
|
|
Pose Estimation (HP)
|
99% |
3157
3.68 IPS |
|
|
Pose Estimation (Q)
|
97% |
13029
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
1431
113.5 IPS |
|
|
Object Detection (HP)
|
98% |
2369
188.5 IPS |
|
|
Object Detection (Q)
|
90% |
4333
346.5 IPS |
|
|
Face Detection (SP)
|
100% |
4934
58.6 IPS |
|
|
Face Detection (HP)
|
100% |
7676
91.2 IPS |
|
|
Face Detection (Q)
|
100% |
10064
119.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5003
38.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
8513
65.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
11467
89.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11178
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
17710
22.8 IPS |
|
|
Style Transfer (Q)
|
98% |
29700
38.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2010
74.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3266
120.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6615
245.0 IPS |
|
|
Text Classification (SP)
|
71% |
1127
1.63 KIPS |
|
|
Text Classification (HP)
|
71% |
1437
2.08 KIPS |
|
|
Text Classification (Q)
|
92% |
1411
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1100
18.9 IPS |
|
|
Machine Translation (HP)
|
98% |
1712
29.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1761
30.3 IPS |
