HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
4417
Single Precision Score
1407
Half Precision Score
6978
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 26 2025 01:10 PM |
| Views | 9 |
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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3445
640.7 IPS |
|
|
Image Classification (HP)
|
100% |
475
88.3 IPS |
|
|
Image Classification (Q)
|
99% |
5977
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1787
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
894
14.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3609
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8677
10.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
4103
4.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
26308
30.8 IPS |
|
|
Object Detection (SP)
|
100% |
3248
257.6 IPS |
|
|
Object Detection (HP)
|
100% |
607
48.1 IPS |
|
|
Object Detection (Q)
|
86% |
6367
511.7 IPS |
|
|
Face Detection (SP)
|
100% |
9332
110.9 IPS |
|
|
Face Detection (HP)
|
100% |
1590
18.9 IPS |
|
|
Face Detection (Q)
|
97% |
9231
110.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10428
80.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1823
14.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
15371
122.7 IPS |
|
|
Style Transfer (SP)
|
100% |
19622
25.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9787
12.6 IPS |
|
|
Style Transfer (Q)
|
98% |
23803
30.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3079
113.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1853
68.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4714
174.5 IPS |
|
|
Text Classification (SP)
|
100% |
1441
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
721
962.8 IPS |
|
|
Text Classification (Q)
|
97% |
1504
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1926
33.2 IPS |
|
|
Machine Translation (HP)
|
100% |
761
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
3167
63.6 IPS |
