HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
4488
Single Precision Score
1432
Half Precision Score
7228
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 25 2025 02:43 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
3709
689.7 IPS |
|
|
Image Classification (HP)
|
100% |
476
88.5 IPS |
|
|
Image Classification (Q)
|
99% |
6422
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1722
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1024
16.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3652
59.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8903
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4116
4.80 IPS |
|
|
Pose Estimation (Q)
|
94% |
27008
31.7 IPS |
|
|
Object Detection (SP)
|
100% |
3451
273.7 IPS |
|
|
Object Detection (HP)
|
100% |
658
52.2 IPS |
|
|
Object Detection (Q)
|
86% |
6508
523.0 IPS |
|
|
Face Detection (SP)
|
100% |
9796
116.4 IPS |
|
|
Face Detection (HP)
|
100% |
1672
19.9 IPS |
|
|
Face Detection (Q)
|
97% |
10265
122.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10571
81.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1797
13.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
15633
124.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19376
24.9 IPS |
|
|
Style Transfer (HP)
|
100% |
9814
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
24015
31.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3068
113.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1894
69.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4634
171.6 IPS |
|
|
Text Classification (SP)
|
100% |
1398
1.87 KIPS |
|
|
Text Classification (HP)
|
100% |
662
884.1 IPS |
|
|
Text Classification (Q)
|
97% |
1569
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1964
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (Q)
|
65% |
3373
67.8 IPS |
