Acer Aspire A315-23
Geekbench AI Score
439
Single Precision Score
281
Half Precision Score
478
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rydawg |
| Upload Date | June 16 2025 12:30 AM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 3 3250U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Aspire A315-23 |
| Motherboard | DL Lotus_DA |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 3250U |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
200
37.2 IPS |
|
|
Image Classification (HP)
|
100% |
126
23.5 IPS |
|
|
Image Classification (Q)
|
96% |
269
50.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
209
3.39 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (Q)
|
97% |
313
5.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
558
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
487
0.57 IPS |
|
|
Pose Estimation (Q)
|
86% |
612
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
311
24.7 IPS |
|
|
Object Detection (HP)
|
100% |
165
13.1 IPS |
|
|
Object Detection (Q)
|
58% |
233
25.5 IPS |
|
|
Face Detection (SP)
|
100% |
930
11.1 IPS |
|
|
Face Detection (HP)
|
100% |
368
4.37 IPS |
|
|
Face Detection (Q)
|
96% |
875
10.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
853
6.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
442
3.40 IPS |
|
|
Depth Estimation (Q)
|
78% |
783
6.25 IPS |
|
|
Style Transfer (SP)
|
100% |
1560
2.01 IPS |
|
|
Style Transfer (HP)
|
100% |
800
1.03 IPS |
|
|
Style Transfer (Q)
|
87% |
1157
1.51 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
209
7.70 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
257
9.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
349
12.9 IPS |
|
|
Text Classification (SP)
|
100% |
291
388.0 IPS |
|
|
Text Classification (HP)
|
100% |
230
307.4 IPS |
|
|
Text Classification (Q)
|
97% |
352
470.9 IPS |
|
|
Machine Translation (SP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (HP)
|
100% |
262
4.51 IPS |
|
|
Machine Translation (Q)
|
68% |
538
10.4 IPS |
