Salzburg HP HP All-in-One 24-dp0xxx
Geekbench AI Score
1202
Single Precision Score
1138
Half Precision Score
1451
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | alfred_heinze |
| Upload Date | April 23 2025 10:00 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 4500U with Radeon 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% |
669
124.3 IPS |
|
|
Image Classification (HP)
|
100% |
669
124.3 IPS |
|
|
Image Classification (Q)
|
100% |
889
165.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1046
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2002
2.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
1931
2.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
2386
2.80 IPS |
|
|
Object Detection (SP)
|
100% |
1046
83.0 IPS |
|
|
Object Detection (HP)
|
100% |
664
52.6 IPS |
|
|
Object Detection (Q)
|
87% |
917
73.5 IPS |
|
|
Face Detection (SP)
|
100% |
1283
15.2 IPS |
|
|
Face Detection (HP)
|
100% |
1281
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
2600
31.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1934
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1935
14.9 IPS |
|
|
Depth Estimation (Q)
|
81% |
2880
22.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4354
5.60 IPS |
|
|
Style Transfer (HP)
|
100% |
4371
5.62 IPS |
|
|
Style Transfer (Q)
|
98% |
5419
6.99 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
820
30.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
833
30.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
1036
38.4 IPS |
|
|
Text Classification (SP)
|
100% |
775
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
733
977.8 IPS |
|
|
Text Classification (Q)
|
91% |
478
642.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1053
18.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1020
17.6 IPS |
|
|
Machine Translation (Q)
|
100% |
1012
17.4 IPS |
