Acer Aspire A315-35
Geekbench AI Score
590
Single Precision Score
617
Half Precision Score
443
Quantized Score
Geekbench AI 1.4.0 for Windows x86 (64-bit)
Result Information
| User | Asgardian456 |
| Upload Date | July 01 2025 09:17 AM |
| Views | 3 |
| Notes | Plugged in mode |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Aspire A315-35 |
| Motherboard | JSL Camellia_JL |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Celeron N5100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 156 Stepping 0 |
| Base Frequency | 1.11 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
281
52.3 IPS |
|
|
Image Classification (HP)
|
100% |
283
52.6 IPS |
|
|
Image Classification (Q)
|
100% |
250
46.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
395
6.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
401
6.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
313
5.09 IPS |
|
|
Pose Estimation (SP)
|
100% |
1598
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
2159
2.52 IPS |
|
|
Pose Estimation (Q)
|
95% |
1240
1.45 IPS |
|
|
Object Detection (SP)
|
100% |
254
20.1 IPS |
|
|
Object Detection (HP)
|
98% |
239
19.0 IPS |
|
|
Object Detection (Q)
|
86% |
231
18.6 IPS |
|
|
Face Detection (SP)
|
100% |
505
6.01 IPS |
|
|
Face Detection (HP)
|
100% |
525
6.24 IPS |
|
|
Face Detection (Q)
|
97% |
403
4.80 IPS |
|
|
Depth Estimation (SP)
|
100% |
1118
8.61 IPS |
|
|
Depth Estimation (HP)
|
98% |
1294
10.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
891
7.13 IPS |
|
|
Style Transfer (SP)
|
100% |
3911
5.03 IPS |
|
|
Style Transfer (HP)
|
100% |
5688
7.31 IPS |
|
|
Style Transfer (Q)
|
98% |
3086
3.98 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
703
26.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1087
40.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
424
15.7 IPS |
|
|
Text Classification (SP)
|
100% |
263
350.5 IPS |
|
|
Text Classification (HP)
|
100% |
168
224.6 IPS |
|
|
Text Classification (Q)
|
97% |
178
237.9 IPS |
|
|
Machine Translation (SP)
|
100% |
280
4.82 IPS |
|
|
Machine Translation (HP)
|
100% |
196
3.38 IPS |
|
|
Machine Translation (Q)
|
70% |
157
2.95 IPS |
