Salzburg HP HP All-in-One 24-dp0xxx
Geekbench AI Score
1535
Single Precision Score
2107
Half Precision Score
1182
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | alfred_heinze |
| Upload Date | April 23 2025 10:08 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | HP HP All-in-One 24-dp0xxx |
| Motherboard | HP 86F1 |
| Power Plan | HP Empfehlung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 4500U |
| Topology | 1 Processor, 6 Cores |
| Identifier | AuthenticAMD Family 23 Model 96 Stepping 1 |
| Base Frequency | 2.38 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
650
120.9 IPS |
|
|
Image Classification (HP)
|
100% |
883
164.2 IPS |
|
|
Image Classification (Q)
|
100% |
592
110.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
937
15.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
596
9.69 IPS |
|
|
Pose Estimation (SP)
|
100% |
5339
6.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
9168
10.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
4586
5.37 IPS |
|
|
Object Detection (SP)
|
100% |
706
56.0 IPS |
|
|
Object Detection (HP)
|
100% |
937
74.3 IPS |
|
|
Object Detection (Q)
|
88% |
607
48.7 IPS |
|
|
Face Detection (SP)
|
100% |
1360
16.2 IPS |
|
|
Face Detection (HP)
|
100% |
2036
24.2 IPS |
|
|
Face Detection (Q)
|
97% |
1134
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3274
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
5284
40.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
2593
20.7 IPS |
|
|
Style Transfer (SP)
|
100% |
9558
12.3 IPS |
|
|
Style Transfer (HP)
|
100% |
15572
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
7849
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2290
84.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3409
125.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1534
56.8 IPS |
|
|
Text Classification (SP)
|
100% |
637
849.9 IPS |
|
|
Text Classification (HP)
|
100% |
569
759.0 IPS |
|
|
Text Classification (Q)
|
97% |
391
524.0 IPS |
|
|
Machine Translation (SP)
|
100% |
726
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
748
12.9 IPS |
|
|
Machine Translation (Q)
|
70% |
392
7.35 IPS |
