Acer Aspire A315-23
Geekbench AI Score
854
Single Precision Score
970
Half Precision Score
652
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | rydawg |
| Upload Date | June 16 2025 12:36 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| 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% |
280
52.0 IPS |
|
|
Image Classification (HP)
|
100% |
251
46.8 IPS |
|
|
Image Classification (Q)
|
100% |
254
47.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
377
6.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
394
6.39 IPS |
|
|
Image Segmentation (Q)
|
98% |
320
5.21 IPS |
|
|
Pose Estimation (SP)
|
100% |
3351
3.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
5591
6.52 IPS |
|
|
Pose Estimation (Q)
|
96% |
2888
3.38 IPS |
|
|
Object Detection (SP)
|
100% |
295
23.4 IPS |
|
|
Object Detection (HP)
|
100% |
288
22.9 IPS |
|
|
Object Detection (Q)
|
85% |
272
21.9 IPS |
|
|
Face Detection (SP)
|
100% |
714
8.49 IPS |
|
|
Face Detection (HP)
|
100% |
771
9.16 IPS |
|
|
Face Detection (Q)
|
97% |
600
7.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
1586
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1661
12.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
1297
10.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5607
7.21 IPS |
|
|
Style Transfer (HP)
|
100% |
8283
10.6 IPS |
|
|
Style Transfer (Q)
|
98% |
4721
6.09 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1423
52.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2054
75.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
963
35.7 IPS |
|
|
Text Classification (SP)
|
100% |
329
439.5 IPS |
|
|
Text Classification (HP)
|
100% |
345
459.9 IPS |
|
|
Text Classification (Q)
|
97% |
205
274.2 IPS |
|
|
Machine Translation (SP)
|
100% |
671
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
619
10.7 IPS |
|
|
Machine Translation (Q)
|
70% |
300
5.63 IPS |
