Acer Aspire A314-23P
Geekbench AI Score
478
Single Precision Score
319
Half Precision Score
740
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | aiharazy |
| Upload Date | April 10 2025 03:35 PM |
| Views | 3 |
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% |
112
20.9 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.8 IPS |
|
|
Image Classification (Q)
|
96% |
564
105.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
206
3.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
171
2.77 IPS |
|
|
Image Segmentation (Q)
|
97% |
410
6.67 IPS |
|
|
Pose Estimation (SP)
|
100% |
707
0.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
608
0.71 IPS |
|
|
Pose Estimation (Q)
|
86% |
1270
1.50 IPS |
|
|
Object Detection (SP)
|
100% |
353
28.0 IPS |
|
|
Object Detection (HP)
|
100% |
156
12.4 IPS |
|
|
Object Detection (Q)
|
58% |
400
43.7 IPS |
|
|
Face Detection (SP)
|
100% |
907
10.8 IPS |
|
|
Face Detection (HP)
|
100% |
416
4.94 IPS |
|
|
Face Detection (Q)
|
96% |
1512
18.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
934
7.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
500
3.85 IPS |
|
|
Depth Estimation (Q)
|
78% |
1514
12.1 IPS |
|
|
Style Transfer (SP)
|
100% |
1906
2.45 IPS |
|
|
Style Transfer (HP)
|
100% |
1757
2.26 IPS |
|
|
Style Transfer (Q)
|
87% |
2928
3.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
377
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
318
11.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
568
21.1 IPS |
|
|
Text Classification (SP)
|
100% |
350
467.6 IPS |
|
|
Text Classification (HP)
|
100% |
230
307.0 IPS |
|
|
Text Classification (Q)
|
97% |
164
220.2 IPS |
|
|
Machine Translation (SP)
|
100% |
509
8.77 IPS |
|
|
Machine Translation (HP)
|
100% |
253
4.35 IPS |
|
|
Machine Translation (Q)
|
68% |
672
13.0 IPS |
