Acer Aspire A315-57G
Geekbench AI Score
939
Single Precision Score
521
Half Precision Score
1897
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | MAALshli |
| Upload Date | April 09 2025 09:51 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1035G1 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Aspire A315-57G |
| Motherboard | IL Happy_IL |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1035G1 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.19 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 4.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
673
125.2 IPS |
|
|
Image Classification (HP)
|
100% |
216
40.2 IPS |
|
|
Image Classification (Q)
|
99% |
2067
385.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
414
6.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
289
4.68 IPS |
|
|
Image Segmentation (Q)
|
98% |
977
15.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1421
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1000
1.17 IPS |
|
|
Pose Estimation (Q)
|
94% |
5661
6.64 IPS |
|
|
Object Detection (SP)
|
100% |
650
51.6 IPS |
|
|
Object Detection (HP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (Q)
|
86% |
1684
135.3 IPS |
|
|
Face Detection (SP)
|
100% |
1134
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
532
6.32 IPS |
|
|
Face Detection (Q)
|
97% |
2940
35.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1816
14.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
799
6.15 IPS |
|
|
Depth Estimation (Q)
|
78% |
4825
38.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3079
3.96 IPS |
|
|
Style Transfer (HP)
|
100% |
2908
3.74 IPS |
|
|
Style Transfer (Q)
|
98% |
5194
6.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
663
24.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
532
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1668
61.8 IPS |
|
|
Text Classification (SP)
|
100% |
658
878.7 IPS |
|
|
Text Classification (HP)
|
100% |
415
553.6 IPS |
|
|
Text Classification (Q)
|
97% |
246
330.1 IPS |
|
|
Machine Translation (SP)
|
100% |
756
13.0 IPS |
|
|
Machine Translation (HP)
|
100% |
331
5.70 IPS |
|
|
Machine Translation (Q)
|
65% |
1039
20.9 IPS |
