Acer Aspire A315-59
Geekbench AI Score
2330
Single Precision Score
946
Half Precision Score
4554
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | mgoc |
| Upload Date | September 23 2025 03:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Aspire A315-59 |
| Motherboard | ADL Callisto_ADU |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1235U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 154 Stepping 4 |
| Base Frequency | 1.30 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1777
330.6 IPS |
|
|
Image Classification (HP)
|
100% |
390
72.5 IPS |
|
|
Image Classification (Q)
|
99% |
3632
677.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1122
18.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4911
79.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3556
4.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
2169
2.53 IPS |
|
|
Pose Estimation (Q)
|
94% |
10007
11.7 IPS |
|
|
Object Detection (SP)
|
100% |
1757
139.4 IPS |
|
|
Object Detection (HP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (Q)
|
86% |
3441
276.6 IPS |
|
|
Face Detection (SP)
|
100% |
4031
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
1068
12.7 IPS |
|
|
Face Detection (Q)
|
97% |
6004
71.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4567
35.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1361
10.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
8893
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
8246
10.6 IPS |
|
|
Style Transfer (HP)
|
100% |
5209
6.70 IPS |
|
|
Style Transfer (Q)
|
98% |
13492
17.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1513
55.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1058
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3395
125.7 IPS |
|
|
Text Classification (SP)
|
100% |
1109
1.48 KIPS |
|
|
Text Classification (HP)
|
100% |
505
674.3 IPS |
|
|
Text Classification (Q)
|
97% |
1259
1.69 KIPS |
|
|
Machine Translation (SP)
|
100% |
1490
25.7 IPS |
|
|
Machine Translation (HP)
|
100% |
579
9.97 IPS |
|
|
Machine Translation (Q)
|
65% |
2032
40.8 IPS |
