Acer Aspire A314-23P
Geekbench AI Score
532
Single Precision Score
336
Half Precision Score
758
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | aiharazy |
| Upload Date | March 24 2025 01:54 AM |
| Views | 4 |
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% |
348
64.8 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.5 IPS |
|
|
Image Classification (Q)
|
96% |
647
120.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
255
4.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
178
2.89 IPS |
|
|
Image Segmentation (Q)
|
97% |
468
7.62 IPS |
|
|
Pose Estimation (SP)
|
100% |
685
0.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
599
0.70 IPS |
|
|
Pose Estimation (Q)
|
86% |
1246
1.47 IPS |
|
|
Object Detection (SP)
|
100% |
346
27.5 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.3 IPS |
|
|
Object Detection (Q)
|
58% |
437
47.8 IPS |
|
|
Face Detection (SP)
|
100% |
993
11.8 IPS |
|
|
Face Detection (HP)
|
100% |
439
5.22 IPS |
|
|
Face Detection (Q)
|
96% |
1479
17.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
891
6.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
490
3.78 IPS |
|
|
Depth Estimation (Q)
|
78% |
1502
12.0 IPS |
|
|
Style Transfer (SP)
|
100% |
1843
2.37 IPS |
|
|
Style Transfer (HP)
|
100% |
1626
2.09 IPS |
|
|
Style Transfer (Q)
|
87% |
2879
3.75 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
334
12.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
325
12.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
534
19.8 IPS |
|
|
Text Classification (SP)
|
100% |
308
411.3 IPS |
|
|
Text Classification (HP)
|
100% |
218
291.5 IPS |
|
|
Text Classification (Q)
|
97% |
162
216.4 IPS |
|
|
Machine Translation (SP)
|
100% |
517
8.91 IPS |
|
|
Machine Translation (HP)
|
100% |
252
4.34 IPS |
|
|
Machine Translation (Q)
|
68% |
690
13.3 IPS |
