HP HP ZBook Fury 16 G11 Mobile Workstation PC
Geekbench AI Score
18537
Single Precision Score
29195
Half Precision Score
14385
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | IMaT_UoA |
| Upload Date | June 25 2025 03:04 PM |
| Views | 8 |
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% |
6800
1.26 KIPS |
|
|
Image Classification (HP)
|
99% |
14039
2.62 KIPS |
|
|
Image Classification (Q)
|
100% |
6535
1.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14938
242.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19785
320.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
12232
198.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
104699
122.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
259936
303.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
95462
111.8 IPS |
|
|
Object Detection (SP)
|
100% |
7315
580.3 IPS |
|
|
Object Detection (HP)
|
100% |
9491
752.8 IPS |
|
|
Object Detection (Q)
|
85% |
6962
560.4 IPS |
|
|
Face Detection (SP)
|
100% |
25572
303.9 IPS |
|
|
Face Detection (HP)
|
100% |
34862
414.2 IPS |
|
|
Face Detection (Q)
|
97% |
20794
248.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
37872
291.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
69550
535.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
32278
257.9 IPS |
|
|
Style Transfer (SP)
|
100% |
163915
210.7 IPS |
|
|
Style Transfer (HP)
|
100% |
380251
488.8 IPS |
|
|
Style Transfer (Q)
|
98% |
146121
188.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
33714
1.24 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46550
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23872
884.0 IPS |
|
|
Text Classification (SP)
|
100% |
3009
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3909
5.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1566
2.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
3824
65.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3914
67.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1948
36.5 IPS |
