Acer Aspire A315-59
Geekbench AI Score
1774
Single Precision Score
1768
Half Precision Score
3765
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | tinman480 |
| Upload Date | September 09 2024 01:54 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 12th Gen Intel(R) Core(TM) i5-1235U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Aspire A315-59 |
| Motherboard | ADL Callisto_ADU |
| Power Plan | Balanced |
| 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% |
1149
213.7 IPS |
|
|
Image Classification (HP)
|
100% |
1127
209.7 IPS |
|
|
Image Classification (Q)
|
100% |
2377
442.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1482
24.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1485
24.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
2779
45.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2482
2.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
2304
2.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
6945
8.13 IPS |
|
|
Object Detection (SP)
|
100% |
1042
82.7 IPS |
|
|
Object Detection (HP)
|
100% |
1034
82.0 IPS |
|
|
Object Detection (Q)
|
88% |
2113
169.4 IPS |
|
|
Face Detection (SP)
|
100% |
2966
35.2 IPS |
|
|
Face Detection (HP)
|
100% |
2959
35.2 IPS |
|
|
Face Detection (Q)
|
100% |
5697
67.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2887
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2927
22.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
5853
45.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6727
8.65 IPS |
|
|
Style Transfer (HP)
|
100% |
6938
8.92 IPS |
|
|
Style Transfer (Q)
|
98% |
20231
26.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1330
49.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1335
49.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3447
127.7 IPS |
|
|
Text Classification (SP)
|
100% |
544
726.7 IPS |
|
|
Text Classification (HP)
|
100% |
562
749.9 IPS |
|
|
Text Classification (Q)
|
92% |
1541
2.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
1683
29.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1667
28.7 IPS |
|
|
Machine Translation (Q)
|
100% |
1650
28.4 IPS |
