Acer Aspire A315-59
Geekbench AI Score
2284
Single Precision Score
2300
Half Precision Score
1439
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | mgoc |
| Upload Date | September 23 2025 03:21 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
985
183.2 IPS |
|
|
Image Classification (HP)
|
100% |
1008
187.4 IPS |
|
|
Image Classification (Q)
|
100% |
847
157.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1456
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1695
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1066
17.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8201
9.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
9279
10.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
4503
5.27 IPS |
|
|
Object Detection (SP)
|
100% |
1137
90.2 IPS |
|
|
Object Detection (HP)
|
98% |
996
79.3 IPS |
|
|
Object Detection (Q)
|
86% |
933
75.0 IPS |
|
|
Face Detection (SP)
|
100% |
2095
24.9 IPS |
|
|
Face Detection (HP)
|
100% |
2557
30.4 IPS |
|
|
Face Detection (Q)
|
97% |
1560
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4506
34.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
4970
38.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
3133
25.1 IPS |
|
|
Style Transfer (SP)
|
100% |
18470
23.7 IPS |
|
|
Style Transfer (HP)
|
100% |
23200
29.8 IPS |
|
|
Style Transfer (Q)
|
98% |
11785
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2681
99.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3416
126.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1151
42.6 IPS |
|
|
Text Classification (SP)
|
100% |
713
951.4 IPS |
|
|
Text Classification (HP)
|
100% |
319
425.8 IPS |
|
|
Text Classification (Q)
|
97% |
361
484.1 IPS |
|
|
Machine Translation (SP)
|
100% |
867
14.9 IPS |
|
|
Machine Translation (HP)
|
100% |
819
14.1 IPS |
|
|
Machine Translation (Q)
|
70% |
420
7.88 IPS |
