Acer Aspire A325-42
Geekbench AI Score
1355
Single Precision Score
725
Half Precision Score
2306
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 29 2025 12:35 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7430U with Radeon Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Aspire A325-42 |
| Motherboard | Acer Aspire A325-42 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7430U with Radeon Graphics |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
873
162.3 IPS |
|
|
Image Classification (HP)
|
100% |
288
53.5 IPS |
|
|
Image Classification (Q)
|
96% |
1730
323.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
367
5.95 IPS |
|
|
Image Segmentation (Q)
|
97% |
2122
34.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2018
2.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
1697
1.98 IPS |
|
|
Pose Estimation (Q)
|
86% |
4631
5.47 IPS |
|
|
Object Detection (SP)
|
100% |
865
68.6 IPS |
|
|
Object Detection (HP)
|
100% |
376
29.8 IPS |
|
|
Object Detection (Q)
|
58% |
1314
143.6 IPS |
|
|
Face Detection (SP)
|
100% |
2231
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
811
9.63 IPS |
|
|
Face Detection (Q)
|
96% |
3668
43.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2538
19.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1122
8.64 IPS |
|
|
Depth Estimation (Q)
|
78% |
4264
34.0 IPS |
|
|
Style Transfer (SP)
|
100% |
5260
6.76 IPS |
|
|
Style Transfer (HP)
|
100% |
4348
5.59 IPS |
|
|
Style Transfer (Q)
|
87% |
7874
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
907
33.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
748
27.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1707
63.3 IPS |
|
|
Text Classification (SP)
|
100% |
733
977.8 IPS |
|
|
Text Classification (HP)
|
100% |
397
529.3 IPS |
|
|
Text Classification (Q)
|
97% |
632
846.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1033
17.8 IPS |
|
|
Machine Translation (HP)
|
100% |
511
8.80 IPS |
|
|
Machine Translation (Q)
|
68% |
1438
27.8 IPS |
