Acer Aspire AG15-71P
Geekbench AI Score
1973
Single Precision Score
755
Half Precision Score
2699
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | Vitalkin |
| Upload Date | December 11 2025 04:40 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% |
1852
344.4 IPS |
|
|
Image Classification (HP)
|
100% |
352
65.5 IPS |
|
|
Image Classification (Q)
|
99% |
2757
514.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
838
13.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
650
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2998
48.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3122
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2020
2.36 IPS |
|
|
Pose Estimation (Q)
|
94% |
7603
8.91 IPS |
|
|
Object Detection (SP)
|
100% |
1432
113.6 IPS |
|
|
Object Detection (HP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (Q)
|
86% |
2279
183.2 IPS |
|
|
Face Detection (SP)
|
100% |
3608
42.9 IPS |
|
|
Face Detection (HP)
|
100% |
873
10.4 IPS |
|
|
Face Detection (Q)
|
97% |
4854
57.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4744
36.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1083
8.34 IPS |
|
|
Depth Estimation (Q)
|
78% |
6609
52.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7126
9.16 IPS |
|
|
Style Transfer (HP)
|
100% |
4299
5.53 IPS |
|
|
Style Transfer (Q)
|
98% |
10796
13.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1829
67.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
782
28.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1644
60.9 IPS |
|
|
Text Classification (SP)
|
100% |
577
769.9 IPS |
|
|
Text Classification (HP)
|
100% |
254
338.7 IPS |
|
|
Text Classification (Q)
|
97% |
279
373.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1001
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
440
7.57 IPS |
|
|
Machine Translation (Q)
|
65% |
903
18.1 IPS |
