Acer Aspire AG15-71P
Geekbench AI Score
2345
Single Precision Score
925
Half Precision Score
4762
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 23 2025 07:29 AM |
| Views | 4 |
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 | Balanced |
| 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% |
1848
343.7 IPS |
|
|
Image Classification (HP)
|
100% |
387
72.0 IPS |
|
|
Image Classification (Q)
|
99% |
3796
707.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
955
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
635
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4808
78.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3736
4.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
2015
2.35 IPS |
|
|
Pose Estimation (Q)
|
94% |
10720
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
1813
143.8 IPS |
|
|
Object Detection (HP)
|
100% |
465
36.9 IPS |
|
|
Object Detection (Q)
|
86% |
3511
282.2 IPS |
|
|
Face Detection (SP)
|
100% |
3997
47.5 IPS |
|
|
Face Detection (HP)
|
100% |
1034
12.3 IPS |
|
|
Face Detection (Q)
|
97% |
6255
74.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4737
36.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1189
9.16 IPS |
|
|
Depth Estimation (Q)
|
78% |
8748
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
8393
10.8 IPS |
|
|
Style Transfer (HP)
|
100% |
5323
6.84 IPS |
|
|
Style Transfer (Q)
|
98% |
13008
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1689
62.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1133
41.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3573
132.3 IPS |
|
|
Text Classification (SP)
|
100% |
1093
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
538
718.2 IPS |
|
|
Text Classification (Q)
|
97% |
1438
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
1440
24.8 IPS |
|
|
Machine Translation (HP)
|
100% |
501
8.63 IPS |
|
|
Machine Translation (Q)
|
65% |
2391
48.0 IPS |
