Acer Aspire A315-59
Geekbench AI Score
1568
Single Precision Score
704
Half Precision Score
2077
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | tinman480 |
| Upload Date | September 09 2024 01:45 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 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% |
1032
191.9 IPS |
|
|
Image Classification (HP)
|
100% |
292
54.2 IPS |
|
|
Image Classification (Q)
|
99% |
1756
327.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
836
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
502
8.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
1409
22.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2600
3.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
1740
2.03 IPS |
|
|
Pose Estimation (Q)
|
95% |
7695
9.02 IPS |
|
|
Object Detection (SP)
|
100% |
1005
79.7 IPS |
|
|
Object Detection (HP)
|
100% |
339
26.9 IPS |
|
|
Object Detection (Q)
|
88% |
962
77.1 IPS |
|
|
Face Detection (SP)
|
100% |
1875
22.3 IPS |
|
|
Face Detection (HP)
|
100% |
804
9.56 IPS |
|
|
Face Detection (Q)
|
97% |
2363
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2999
23.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
977
7.53 IPS |
|
|
Depth Estimation (Q)
|
77% |
4108
32.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6130
7.88 IPS |
|
|
Style Transfer (HP)
|
100% |
4213
5.42 IPS |
|
|
Style Transfer (Q)
|
98% |
10878
14.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1175
43.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
830
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1992
73.8 IPS |
|
|
Text Classification (SP)
|
100% |
911
1.22 KIPS |
|
|
Text Classification (HP)
|
100% |
346
462.3 IPS |
|
|
Text Classification (Q)
|
97% |
346
463.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1081
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
366
6.30 IPS |
|
|
Machine Translation (Q)
|
60% |
1124
25.1 IPS |
