HP HP ZBook Fury 15.6 inch G8 Mobile Workstation PC
Geekbench AI Score
1275
Single Precision Score
1315
Half Precision Score
896
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | July 08 2025 12:46 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | HP HP ZBook Fury 15.6 inch G8 Mobile Workstation PC |
| Motherboard | HP 8870 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
506
94.1 IPS |
|
|
Image Classification (HP)
|
100% |
491
91.3 IPS |
|
|
Image Classification (Q)
|
100% |
473
88.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
744
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
907
14.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
628
10.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4312
5.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
4695
5.48 IPS |
|
|
Pose Estimation (Q)
|
96% |
2957
3.46 IPS |
|
|
Object Detection (SP)
|
100% |
667
52.9 IPS |
|
|
Object Detection (HP)
|
98% |
532
42.3 IPS |
|
|
Object Detection (Q)
|
86% |
568
45.6 IPS |
|
|
Face Detection (SP)
|
100% |
1291
15.3 IPS |
|
|
Face Detection (HP)
|
100% |
1530
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
1002
11.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2581
19.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
2656
20.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
1899
15.2 IPS |
|
|
Style Transfer (SP)
|
100% |
9065
11.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12121
15.6 IPS |
|
|
Style Transfer (Q)
|
98% |
6779
8.74 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1495
55.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2052
75.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
675
25.0 IPS |
|
|
Text Classification (SP)
|
100% |
444
592.7 IPS |
|
|
Text Classification (HP)
|
100% |
258
343.8 IPS |
|
|
Text Classification (Q)
|
97% |
257
344.8 IPS |
|
|
Machine Translation (SP)
|
100% |
524
9.03 IPS |
|
|
Machine Translation (HP)
|
100% |
537
9.24 IPS |
|
|
Machine Translation (Q)
|
70% |
301
5.65 IPS |
