HP HP ZBook Fury 17.3 inch G8 Mobile Workstation PC
Geekbench AI Score
1533
Single Precision Score
1585
Half Precision Score
1044
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 10 2025 09:44 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Fury 17.3 inch G8 Mobile Workstation PC |
| Motherboard | HP 886D |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-11850H |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 141 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
648
120.6 IPS |
|
|
Image Classification (HP)
|
100% |
685
127.4 IPS |
|
|
Image Classification (Q)
|
100% |
546
101.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
918
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
706
11.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4706
5.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
5164
6.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
3243
3.80 IPS |
|
|
Object Detection (SP)
|
100% |
725
57.5 IPS |
|
|
Object Detection (HP)
|
98% |
607
48.3 IPS |
|
|
Object Detection (Q)
|
86% |
609
49.0 IPS |
|
|
Face Detection (SP)
|
100% |
1463
17.4 IPS |
|
|
Face Detection (HP)
|
100% |
1619
19.2 IPS |
|
|
Face Detection (Q)
|
97% |
1099
13.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2809
21.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
2957
22.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
2051
16.4 IPS |
|
|
Style Transfer (SP)
|
100% |
9856
12.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13058
16.8 IPS |
|
|
Style Transfer (Q)
|
98% |
7325
9.45 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1643
60.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2288
84.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
871
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
796
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
479
639.9 IPS |
|
|
Text Classification (Q)
|
97% |
401
537.3 IPS |
|
|
Machine Translation (SP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
653
11.3 IPS |
|
|
Machine Translation (Q)
|
70% |
353
6.63 IPS |
