Acer Aspire A315-58
Geekbench AI Score
709
Single Precision Score
383
Half Precision Score
1601
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | jordatech |
| Upload Date | April 21 2026 05:01 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1135G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home Single Language (64-bit) |
| Model | Acer Aspire A315-58 |
| Motherboard | TGL Camellia_TL |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.42 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
449
83.6 IPS |
|
|
Image Classification (HP)
|
100% |
143
26.5 IPS |
|
|
Image Classification (Q)
|
99% |
934
174.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
306
4.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
1427
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1030
1.20 IPS |
|
|
Pose Estimation (HP)
|
100% |
848
0.99 IPS |
|
|
Pose Estimation (Q)
|
94% |
3649
4.28 IPS |
|
|
Object Detection (SP)
|
100% |
466
37.0 IPS |
|
|
Object Detection (HP)
|
100% |
193
15.3 IPS |
|
|
Object Detection (Q)
|
86% |
1376
110.6 IPS |
|
|
Face Detection (SP)
|
100% |
1044
12.4 IPS |
|
|
Face Detection (HP)
|
100% |
391
4.65 IPS |
|
|
Face Detection (Q)
|
97% |
2163
25.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1263
9.73 IPS |
|
|
Depth Estimation (HP)
|
99% |
592
4.56 IPS |
|
|
Depth Estimation (Q)
|
78% |
3044
24.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2606
3.35 IPS |
|
|
Style Transfer (HP)
|
100% |
2066
2.66 IPS |
|
|
Style Transfer (Q)
|
98% |
4538
5.85 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
503
18.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
412
15.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1450
53.7 IPS |
|
|
Text Classification (SP)
|
100% |
475
633.4 IPS |
|
|
Text Classification (HP)
|
100% |
259
346.2 IPS |
|
|
Text Classification (Q)
|
97% |
508
680.9 IPS |
|
|
Machine Translation (SP)
|
100% |
600
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (Q)
|
65% |
755
15.2 IPS |
