Acer Aspire AG15-72P
Geekbench AI Score
1575
Single Precision Score
649
Half Precision Score
2673
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 12:27 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core 7 150U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Aspire AG15-72P |
| Motherboard | RPL Madeleine15_RTH |
| Power Plan | Acer |
| CPU Information | |
|---|---|
| Name | Intel Core 7 150U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1441
268.0 IPS |
|
|
Image Classification (HP)
|
100% |
297
55.2 IPS |
|
|
Image Classification (Q)
|
99% |
1328
247.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
659
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
471
7.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
3460
56.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2845
3.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
1573
1.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
6213
7.28 IPS |
|
|
Object Detection (SP)
|
100% |
1099
87.1 IPS |
|
|
Object Detection (HP)
|
100% |
311
24.7 IPS |
|
|
Object Detection (Q)
|
86% |
2145
172.4 IPS |
|
|
Face Detection (SP)
|
100% |
2339
27.8 IPS |
|
|
Face Detection (HP)
|
100% |
690
8.20 IPS |
|
|
Face Detection (Q)
|
97% |
3479
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3235
24.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
926
7.13 IPS |
|
|
Depth Estimation (Q)
|
78% |
5743
45.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5806
7.46 IPS |
|
|
Style Transfer (HP)
|
100% |
3418
4.39 IPS |
|
|
Style Transfer (Q)
|
98% |
8542
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1076
39.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
784
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1847
68.4 IPS |
|
|
Text Classification (SP)
|
100% |
762
1.02 KIPS |
|
|
Text Classification (HP)
|
100% |
283
377.3 IPS |
|
|
Text Classification (Q)
|
97% |
810
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (Q)
|
65% |
1194
24.0 IPS |
