HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
19138
Single Precision Score
30693
Half Precision Score
14578
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 25 2025 03:05 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX 3500 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7647
1.42 KIPS |
|
|
Image Classification (HP)
|
99% |
12936
2.41 KIPS |
|
|
Image Classification (Q)
|
100% |
6574
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13920
225.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
18697
303.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
13461
218.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
104719
122.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
288568
336.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
97921
114.7 IPS |
|
|
Object Detection (SP)
|
100% |
9050
717.8 IPS |
|
|
Object Detection (HP)
|
100% |
16966
1.35 KIPS |
|
|
Object Detection (Q)
|
85% |
7390
594.9 IPS |
|
|
Face Detection (SP)
|
100% |
24953
296.5 IPS |
|
|
Face Detection (HP)
|
100% |
35649
423.6 IPS |
|
|
Face Detection (Q)
|
97% |
21354
254.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
39400
303.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
74766
576.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
31924
255.1 IPS |
|
|
Style Transfer (SP)
|
100% |
154598
198.7 IPS |
|
|
Style Transfer (HP)
|
100% |
366098
470.6 IPS |
|
|
Style Transfer (Q)
|
98% |
141821
182.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33865
1.25 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
45018
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23065
854.1 IPS |
|
|
Text Classification (SP)
|
100% |
3083
4.11 KIPS |
|
|
Text Classification (HP)
|
99% |
3912
5.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1580
2.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
4119
71.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3647
62.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1922
36.1 IPS |
