Acer Aspire AG15-71P
Geekbench AI Score
2392
Single Precision Score
2321
Half Precision Score
4566
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 23 2025 07:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) 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% |
1260
234.3 IPS |
|
|
Image Classification (HP)
|
100% |
1230
228.7 IPS |
|
|
Image Classification (Q)
|
100% |
2636
490.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1707
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1906
30.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3288
53.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
3368
3.93 IPS |
|
|
Pose Estimation (HP)
|
100% |
2672
3.12 IPS |
|
|
Pose Estimation (Q)
|
96% |
7370
8.63 IPS |
|
|
Object Detection (SP)
|
100% |
1262
100.1 IPS |
|
|
Object Detection (HP)
|
100% |
1240
98.3 IPS |
|
|
Object Detection (Q)
|
88% |
2779
222.7 IPS |
|
|
Face Detection (SP)
|
100% |
3394
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
3449
41.0 IPS |
|
|
Face Detection (Q)
|
100% |
7017
83.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3810
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3422
26.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
8038
62.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9478
12.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9684
12.4 IPS |
|
|
Style Transfer (Q)
|
98% |
19842
25.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1642
60.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1638
60.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3765
139.4 IPS |
|
|
Text Classification (SP)
|
100% |
1540
2.06 KIPS |
|
|
Text Classification (HP)
|
100% |
1509
2.01 KIPS |
|
|
Text Classification (Q)
|
92% |
2459
3.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
2168
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2073
35.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2146
37.0 IPS |
