HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
18542
Single Precision Score
32391
Half Precision Score
14627
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 25 2025 03:27 PM |
| Views | 6 |
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% |
7470
1.39 KIPS |
|
|
Image Classification (HP)
|
99% |
14117
2.63 KIPS |
|
|
Image Classification (Q)
|
100% |
6718
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14002
227.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
21198
343.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12873
209.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
100432
117.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
294359
343.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
96588
113.2 IPS |
|
|
Object Detection (SP)
|
100% |
8733
692.7 IPS |
|
|
Object Detection (HP)
|
100% |
16857
1.34 KIPS |
|
|
Object Detection (Q)
|
85% |
7276
585.7 IPS |
|
|
Face Detection (SP)
|
100% |
23727
281.9 IPS |
|
|
Face Detection (HP)
|
100% |
36191
430.0 IPS |
|
|
Face Detection (Q)
|
97% |
23525
280.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
35516
273.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
75857
584.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
31997
255.7 IPS |
|
|
Style Transfer (SP)
|
100% |
162193
208.5 IPS |
|
|
Style Transfer (HP)
|
100% |
423988
545.0 IPS |
|
|
Style Transfer (Q)
|
98% |
141522
182.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33072
1.22 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46169
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24232
897.3 IPS |
|
|
Text Classification (SP)
|
100% |
2970
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
3749
5.00 KIPS |
|
|
Text Classification (Q)
|
97% |
1570
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3901
67.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4250
73.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1820
34.1 IPS |
