Acer Aspire AG15-71P
Geekbench AI Score
2194
Single Precision Score
871
Half Precision Score
3361
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Vitalkin |
| Upload Date | December 11 2025 04:30 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-1334U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Acer Aspire AG15-71P |
| Motherboard | RPL Gummy_RTH |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1334U |
| Topology | 1 Processor, 10 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 3 |
| 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% |
1932
359.2 IPS |
|
|
Image Classification (HP)
|
100% |
375
69.7 IPS |
|
|
Image Classification (Q)
|
99% |
3649
680.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1172
19.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
713
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3090
50.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3303
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
1792
2.09 IPS |
|
|
Pose Estimation (Q)
|
94% |
8977
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
1645
130.5 IPS |
|
|
Object Detection (HP)
|
100% |
457
36.3 IPS |
|
|
Object Detection (Q)
|
86% |
2877
231.2 IPS |
|
|
Face Detection (SP)
|
100% |
4260
50.6 IPS |
|
|
Face Detection (HP)
|
100% |
1098
13.1 IPS |
|
|
Face Detection (Q)
|
97% |
5556
66.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4379
33.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1265
9.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
8100
64.6 IPS |
|
|
Style Transfer (SP)
|
100% |
8653
11.1 IPS |
|
|
Style Transfer (HP)
|
100% |
4347
5.59 IPS |
|
|
Style Transfer (Q)
|
98% |
12489
16.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1359
50.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
883
32.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2413
89.3 IPS |
|
|
Text Classification (SP)
|
100% |
859
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
434
578.8 IPS |
|
|
Text Classification (Q)
|
97% |
312
418.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1119
19.3 IPS |
|
|
Machine Translation (HP)
|
100% |
497
8.56 IPS |
|
|
Machine Translation (Q)
|
65% |
1495
30.0 IPS |
