Acer Aspire A314-23P
Geekbench AI Score
749
Single Precision Score
482
Half Precision Score
1267
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Anas_Hani |
| Upload Date | March 20 2025 01:58 PM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 5 7520U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Aspire A314-23P |
| Motherboard | MDU Evelyne_MDU |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7520U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 160 Stepping 0 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
600
111.5 IPS |
|
|
Image Classification (HP)
|
100% |
278
51.6 IPS |
|
|
Image Classification (Q)
|
96% |
1092
204.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
302
4.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
290
4.71 IPS |
|
|
Image Segmentation (Q)
|
97% |
849
13.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1040
1.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
877
1.02 IPS |
|
|
Pose Estimation (Q)
|
86% |
1828
2.16 IPS |
|
|
Object Detection (SP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (HP)
|
100% |
244
19.4 IPS |
|
|
Object Detection (Q)
|
58% |
678
74.1 IPS |
|
|
Face Detection (SP)
|
100% |
1210
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
570
6.77 IPS |
|
|
Face Detection (Q)
|
96% |
2283
27.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1427
11.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
687
5.30 IPS |
|
|
Depth Estimation (Q)
|
78% |
2086
16.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2494
3.21 IPS |
|
|
Style Transfer (HP)
|
100% |
2326
2.99 IPS |
|
|
Style Transfer (Q)
|
87% |
3905
5.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
448
16.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
759
28.1 IPS |
|
|
Text Classification (SP)
|
100% |
468
624.3 IPS |
|
|
Text Classification (HP)
|
100% |
292
390.3 IPS |
|
|
Text Classification (Q)
|
97% |
671
899.2 IPS |
|
|
Machine Translation (SP)
|
100% |
657
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
336
5.79 IPS |
|
|
Machine Translation (Q)
|
68% |
982
19.0 IPS |
