Acer Aspire A515-55G
Geekbench AI Score
968
Single Precision Score
518
Half Precision Score
1911
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 12 2025 11:41 PM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1065G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Aspire A515-55G |
| Motherboard | IL Doc_IL |
| Power Plan | Hchstleistung |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1065G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
867
161.2 IPS |
|
|
Image Classification (HP)
|
100% |
233
43.4 IPS |
|
|
Image Classification (Q)
|
99% |
1619
302.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
408
6.62 IPS |
|
|
Image Segmentation (HP)
|
100% |
301
4.89 IPS |
|
|
Image Segmentation (Q)
|
98% |
1484
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1372
1.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
1065
1.24 IPS |
|
|
Pose Estimation (Q)
|
94% |
4723
5.54 IPS |
|
|
Object Detection (SP)
|
100% |
629
49.9 IPS |
|
|
Object Detection (HP)
|
100% |
261
20.7 IPS |
|
|
Object Detection (Q)
|
86% |
1505
120.9 IPS |
|
|
Face Detection (SP)
|
100% |
1354
16.1 IPS |
|
|
Face Detection (HP)
|
100% |
565
6.71 IPS |
|
|
Face Detection (Q)
|
97% |
2889
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1696
13.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
731
5.63 IPS |
|
|
Depth Estimation (Q)
|
78% |
3928
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3082
3.96 IPS |
|
|
Style Transfer (HP)
|
100% |
2485
3.19 IPS |
|
|
Style Transfer (Q)
|
98% |
6354
8.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
628
23.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
538
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1908
70.6 IPS |
|
|
Text Classification (SP)
|
100% |
634
845.8 IPS |
|
|
Text Classification (HP)
|
100% |
379
506.2 IPS |
|
|
Text Classification (Q)
|
97% |
253
338.5 IPS |
|
|
Machine Translation (SP)
|
100% |
845
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
344
5.93 IPS |
|
|
Machine Translation (Q)
|
65% |
1096
22.0 IPS |
