Acer Aspire A315-42
Geekbench AI Score
646
Single Precision Score
913
Half Precision Score
645
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 16 2025 05:42 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) RX Vega 10 Graphics |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Acer Aspire A315-42 |
| Motherboard | PK Sleepy_PK |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 3700U |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | AuthenticAMD Family 23 Model 24 Stepping 1 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
153
28.4 IPS |
|
|
Image Classification (HP)
|
100% |
403
74.9 IPS |
|
|
Image Classification (Q)
|
100% |
242
45.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
211
3.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
215
3.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
177
2.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
7442
8.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
13248
15.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
7173
8.40 IPS |
|
|
Object Detection (SP)
|
100% |
181
14.3 IPS |
|
|
Object Detection (HP)
|
100% |
657
52.1 IPS |
|
|
Object Detection (Q)
|
85% |
468
37.7 IPS |
|
|
Face Detection (SP)
|
100% |
865
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
1078
12.8 IPS |
|
|
Face Detection (Q)
|
97% |
885
10.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1643
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2622
20.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
2137
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6108
7.85 IPS |
|
|
Style Transfer (HP)
|
100% |
4558
5.86 IPS |
|
|
Style Transfer (Q)
|
98% |
3594
4.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
762
28.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1053
38.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
520
19.3 IPS |
|
|
Text Classification (SP)
|
100% |
138
184.1 IPS |
|
|
Text Classification (HP)
|
100% |
135
180.5 IPS |
|
|
Text Classification (Q)
|
97% |
89
119.7 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (HP)
|
98% |
293
5.06 IPS |
|
|
Machine Translation (Q)
|
70% |
277
5.19 IPS |
