HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
4503
Single Precision Score
1435
Half Precision Score
7278
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 25 2025 02:49 PM |
| Views | 10 |
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% |
3764
700.0 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.1 IPS |
|
|
Image Classification (Q)
|
99% |
6309
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1844
29.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
934
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
3701
60.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
8953
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
4205
4.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
26711
31.3 IPS |
|
|
Object Detection (SP)
|
100% |
3336
264.6 IPS |
|
|
Object Detection (HP)
|
100% |
656
52.0 IPS |
|
|
Object Detection (Q)
|
86% |
6707
539.0 IPS |
|
|
Face Detection (SP)
|
100% |
9385
111.5 IPS |
|
|
Face Detection (HP)
|
100% |
1577
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
10112
120.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10322
79.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1845
14.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
16177
129.1 IPS |
|
|
Style Transfer (SP)
|
100% |
19116
24.6 IPS |
|
|
Style Transfer (HP)
|
100% |
9856
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
25329
32.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3040
112.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1896
70.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4636
171.7 IPS |
|
|
Text Classification (SP)
|
100% |
1482
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
688
917.7 IPS |
|
|
Text Classification (Q)
|
97% |
1574
2.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
1984
34.2 IPS |
|
|
Machine Translation (HP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3301
66.3 IPS |
