HP HP ZBook Fury 15.6 inch G8 Mobile Workstation PC
Geekbench AI Score
2523
Single Precision Score
1150
Half Precision Score
4449
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | January 06 2025 10:00 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-11850H |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1911
355.3 IPS |
|
|
Image Classification (HP)
|
100% |
413
76.7 IPS |
|
|
Image Classification (Q)
|
99% |
5606
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1134
18.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
656
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2100
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3977
4.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
3154
3.68 IPS |
|
|
Pose Estimation (Q)
|
94% |
15066
17.7 IPS |
|
|
Object Detection (SP)
|
100% |
1785
141.6 IPS |
|
|
Object Detection (HP)
|
100% |
505
40.0 IPS |
|
|
Object Detection (Q)
|
86% |
4111
330.4 IPS |
|
|
Face Detection (SP)
|
100% |
3469
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
1178
14.0 IPS |
|
|
Face Detection (Q)
|
97% |
6893
82.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
5035
38.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1650
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
11454
91.4 IPS |
|
|
Style Transfer (SP)
|
100% |
10462
13.4 IPS |
|
|
Style Transfer (HP)
|
100% |
7810
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
16320
21.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1850
68.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1619
59.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3249
120.3 IPS |
|
|
Text Classification (SP)
|
100% |
1393
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
702
937.2 IPS |
|
|
Text Classification (Q)
|
97% |
491
658.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1446
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
545
9.40 IPS |
|
|
Machine Translation (Q)
|
65% |
2028
40.7 IPS |
