Acer Aspire A315-59
Geekbench AI Score
3429
Single Precision Score
4932
Half Precision Score
8151
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | mgoc |
| Upload Date | September 23 2025 03:00 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Iris(R) Xe Graphics (iGPU) |
| 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% |
2127
395.6 IPS |
|
|
Image Classification (HP)
|
100% |
3361
625.0 IPS |
|
|
Image Classification (Q)
|
99% |
5061
943.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3077
49.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
5141
83.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
7404
120.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6926
8.08 IPS |
|
|
Pose Estimation (HP)
|
99% |
5096
5.95 IPS |
|
|
Pose Estimation (Q)
|
97% |
23996
28.1 IPS |
|
|
Object Detection (SP)
|
100% |
2040
161.8 IPS |
|
|
Object Detection (HP)
|
100% |
3113
246.9 IPS |
|
|
Object Detection (Q)
|
90% |
5196
415.4 IPS |
|
|
Face Detection (SP)
|
100% |
5246
62.3 IPS |
|
|
Face Detection (HP)
|
100% |
8830
104.9 IPS |
|
|
Face Detection (Q)
|
100% |
14559
173.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6955
53.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
11752
90.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
16209
126.0 IPS |
|
|
Style Transfer (SP)
|
100% |
17818
22.9 IPS |
|
|
Style Transfer (HP)
|
100% |
28616
36.8 IPS |
|
|
Style Transfer (Q)
|
98% |
51436
66.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2951
109.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4478
165.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9681
358.5 IPS |
|
|
Text Classification (SP)
|
71% |
1085
1.57 KIPS |
|
|
Text Classification (HP)
|
71% |
1243
1.80 KIPS |
|
|
Text Classification (Q)
|
92% |
1249
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1169
20.1 IPS |
|
|
Machine Translation (HP)
|
98% |
1883
32.5 IPS |
|
|
Machine Translation (Q)
|
98% |
1890
32.7 IPS |
