Acer Aspire A315-57G
Geekbench AI Score
1123
Single Precision Score
565
Half Precision Score
2600
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | StingerYar |
| Upload Date | April 07 2026 12:38 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1035G1 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Aspire A315-57G |
| Motherboard | IL Happy_IL |
| Power Plan | High performance |
| 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 | 12.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
907
168.7 IPS |
|
|
Image Classification (HP)
|
100% |
244
45.4 IPS |
|
|
Image Classification (Q)
|
99% |
1765
329.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
573
9.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
358
5.80 IPS |
|
|
Image Segmentation (Q)
|
98% |
2298
37.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1426
1.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
1070
1.25 IPS |
|
|
Pose Estimation (Q)
|
94% |
5342
6.26 IPS |
|
|
Object Detection (SP)
|
100% |
823
65.2 IPS |
|
|
Object Detection (HP)
|
100% |
287
22.8 IPS |
|
|
Object Detection (Q)
|
86% |
2066
166.0 IPS |
|
|
Face Detection (SP)
|
100% |
1848
22.0 IPS |
|
|
Face Detection (HP)
|
100% |
569
6.76 IPS |
|
|
Face Detection (Q)
|
97% |
3568
42.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2075
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
847
6.53 IPS |
|
|
Depth Estimation (Q)
|
78% |
5321
42.5 IPS |
|
|
Style Transfer (SP)
|
100% |
3306
4.25 IPS |
|
|
Style Transfer (HP)
|
100% |
2819
3.62 IPS |
|
|
Style Transfer (Q)
|
98% |
7497
9.67 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
726
26.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
587
21.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2158
79.9 IPS |
|
|
Text Classification (SP)
|
100% |
634
846.5 IPS |
|
|
Text Classification (HP)
|
100% |
415
553.8 IPS |
|
|
Text Classification (Q)
|
97% |
848
1.14 KIPS |
|
|
Machine Translation (SP)
|
100% |
901
15.5 IPS |
|
|
Machine Translation (HP)
|
100% |
374
6.45 IPS |
|
|
Machine Translation (Q)
|
65% |
1213
24.4 IPS |
