Acer Aspire Lite AL15-42
Geekbench AI Score
1898
Single Precision Score
1022
Half Precision Score
2768
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | March 04 2026 07:40 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7730U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Acer Aspire Lite AL15-42 |
| Motherboard | Acer A141LUR200 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7730U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1662
309.1 IPS |
|
|
Image Classification (HP)
|
100% |
329
61.1 IPS |
|
|
Image Classification (Q)
|
96% |
3805
710.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
917
14.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
559
9.06 IPS |
|
|
Image Segmentation (Q)
|
97% |
4007
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3094
3.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2777
3.24 IPS |
|
|
Pose Estimation (Q)
|
86% |
2770
3.27 IPS |
|
|
Object Detection (SP)
|
100% |
1033
81.9 IPS |
|
|
Object Detection (HP)
|
100% |
488
38.7 IPS |
|
|
Object Detection (Q)
|
58% |
2294
250.7 IPS |
|
|
Face Detection (SP)
|
100% |
1439
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
858
10.2 IPS |
|
|
Face Detection (Q)
|
96% |
3019
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3568
27.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1559
12.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
3365
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
8176
10.5 IPS |
|
|
Style Transfer (HP)
|
100% |
7321
9.41 IPS |
|
|
Style Transfer (Q)
|
87% |
3934
5.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1547
57.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1352
49.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3282
121.6 IPS |
|
|
Text Classification (SP)
|
100% |
1484
1.98 KIPS |
|
|
Text Classification (HP)
|
100% |
719
960.1 IPS |
|
|
Text Classification (Q)
|
97% |
1240
1.66 KIPS |
|
|
Machine Translation (SP)
|
100% |
1297
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
525
9.05 IPS |
|
|
Machine Translation (Q)
|
68% |
1681
32.5 IPS |
