HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
13468
Single Precision Score
24736
Half Precision Score
10672
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 26 2025 01:42 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 1000 Ada Generation Laptop GPU |
| 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% |
5037
936.7 IPS |
|
|
Image Classification (HP)
|
99% |
10647
1.99 KIPS |
|
|
Image Classification (Q)
|
99% |
4452
830.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9710
157.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
14482
234.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
8623
140.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
58237
68.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
197286
230.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
52243
61.2 IPS |
|
|
Object Detection (SP)
|
100% |
6078
482.1 IPS |
|
|
Object Detection (HP)
|
100% |
12411
984.5 IPS |
|
|
Object Detection (Q)
|
84% |
6151
496.1 IPS |
|
|
Face Detection (SP)
|
100% |
14810
176.0 IPS |
|
|
Face Detection (HP)
|
100% |
24963
296.6 IPS |
|
|
Face Detection (Q)
|
97% |
13989
166.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
28825
222.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
60216
463.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
25630
205.0 IPS |
|
|
Style Transfer (SP)
|
100% |
105831
136.0 IPS |
|
|
Style Transfer (HP)
|
100% |
257056
330.4 IPS |
|
|
Style Transfer (Q)
|
98% |
95009
122.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21443
791.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39307
1.45 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16812
622.5 IPS |
|
|
Text Classification (SP)
|
100% |
3251
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
3841
5.13 KIPS |
|
|
Text Classification (Q)
|
97% |
1701
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
3602
62.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3894
67.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1595
29.9 IPS |
