Acer Aspire AG15-72P
Geekbench AI Score
1477
Single Precision Score
1426
Half Precision Score
2691
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | January 06 2026 12:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) 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% |
802
149.2 IPS |
|
|
Image Classification (HP)
|
100% |
804
149.6 IPS |
|
|
Image Classification (Q)
|
100% |
1384
257.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1433
23.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1244
20.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2082
33.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2044
2.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1772
2.07 IPS |
|
|
Pose Estimation (Q)
|
96% |
4294
5.03 IPS |
|
|
Object Detection (SP)
|
100% |
732
58.1 IPS |
|
|
Object Detection (HP)
|
100% |
722
57.3 IPS |
|
|
Object Detection (Q)
|
88% |
1543
123.7 IPS |
|
|
Face Detection (SP)
|
100% |
1978
23.5 IPS |
|
|
Face Detection (HP)
|
100% |
1972
23.4 IPS |
|
|
Face Detection (Q)
|
100% |
4035
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2882
22.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2333
18.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
4328
33.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5206
6.69 IPS |
|
|
Style Transfer (HP)
|
100% |
5264
6.77 IPS |
|
|
Style Transfer (Q)
|
98% |
12021
15.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1043
38.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1049
38.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2217
82.1 IPS |
|
|
Text Classification (SP)
|
100% |
941
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
956
1.28 KIPS |
|
|
Text Classification (Q)
|
92% |
1717
2.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
989
17.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1123
19.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1308
22.5 IPS |
