Acer Aspire A15-41M
Geekbench AI Score
636
Single Precision Score
346
Half Precision Score
1639
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 01 2025 10:01 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 8840HS |
| System Information | |
|---|---|
| Operating System | Windows 11 Insider Preview (64-bit) |
| Model | Acer Aspire A15-41M |
| Motherboard | HWK Kinder_HKU |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8840HS |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
434
80.6 IPS |
|
|
Image Classification (HP)
|
100% |
141
26.2 IPS |
|
|
Image Classification (Q)
|
99% |
1176
219.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
316
5.12 IPS |
|
|
Image Segmentation (HP)
|
100% |
196
3.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
1629
26.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
809
0.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
722
0.84 IPS |
|
|
Pose Estimation (Q)
|
94% |
3459
4.06 IPS |
|
|
Object Detection (SP)
|
100% |
420
33.3 IPS |
|
|
Object Detection (HP)
|
100% |
174
13.8 IPS |
|
|
Object Detection (Q)
|
86% |
1402
112.7 IPS |
|
|
Face Detection (SP)
|
100% |
1086
12.9 IPS |
|
|
Face Detection (HP)
|
100% |
390
4.63 IPS |
|
|
Face Detection (Q)
|
97% |
2405
28.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1098
8.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
511
3.94 IPS |
|
|
Depth Estimation (Q)
|
78% |
1889
15.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2119
2.72 IPS |
|
|
Style Transfer (HP)
|
100% |
1746
2.24 IPS |
|
|
Style Transfer (Q)
|
98% |
5274
6.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
410
15.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
377
13.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1370
50.7 IPS |
|
|
Text Classification (SP)
|
100% |
394
526.1 IPS |
|
|
Text Classification (HP)
|
100% |
226
302.2 IPS |
|
|
Text Classification (Q)
|
97% |
500
669.4 IPS |
|
|
Machine Translation (SP)
|
100% |
570
9.81 IPS |
|
|
Machine Translation (HP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (Q)
|
65% |
918
18.5 IPS |
