Acer Aspire A315-57G
Geekbench AI Score
1121
Single Precision Score
595
Half Precision Score
2479
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | wshakeem |
| Upload Date | March 19 2025 11:33 AM |
| Views | 11 |
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 | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
715
132.9 IPS |
|
|
Image Classification (HP)
|
100% |
243
45.1 IPS |
|
|
Image Classification (Q)
|
99% |
2102
392.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
550
8.92 IPS |
|
|
Image Segmentation (HP)
|
100% |
349
5.65 IPS |
|
|
Image Segmentation (Q)
|
98% |
1324
21.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1569
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1148
1.34 IPS |
|
|
Pose Estimation (Q)
|
94% |
5450
6.39 IPS |
|
|
Object Detection (SP)
|
100% |
846
67.1 IPS |
|
|
Object Detection (HP)
|
100% |
293
23.3 IPS |
|
|
Object Detection (Q)
|
86% |
2172
174.5 IPS |
|
|
Face Detection (SP)
|
100% |
1754
20.8 IPS |
|
|
Face Detection (HP)
|
100% |
692
8.22 IPS |
|
|
Face Detection (Q)
|
97% |
3432
40.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2052
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
870
6.70 IPS |
|
|
Depth Estimation (Q)
|
78% |
5034
40.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3631
4.67 IPS |
|
|
Style Transfer (HP)
|
100% |
2896
3.72 IPS |
|
|
Style Transfer (Q)
|
98% |
7681
9.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
735
27.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
721
26.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1700
62.9 IPS |
|
|
Text Classification (SP)
|
100% |
670
894.2 IPS |
|
|
Text Classification (HP)
|
100% |
397
529.6 IPS |
|
|
Text Classification (Q)
|
97% |
866
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
934
16.1 IPS |
|
|
Machine Translation (HP)
|
100% |
391
6.73 IPS |
|
|
Machine Translation (Q)
|
65% |
1364
27.4 IPS |
