Acer M10-11
Geekbench AI Score
330
Single Precision Score
331
Half Precision Score
355
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 02:16 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT8183 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Acer M10-11 |
| Model ID | Acer M10-11 |
| Motherboard | tb8788p1_64_bsp_k419 |
| CPU Information | |
|---|---|
| Name | ARM MT8183 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3337 revision 2 |
| Base Frequency | 1.99 GHz |
| Cluster 1 | 8 Cores @ 1.99 GHz |
| Memory Information | |
|---|---|
| Size | 3.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
141
26.3 IPS |
|
|
Image Classification (HP)
|
100% |
167
31.1 IPS |
|
|
Image Classification (Q)
|
100% |
249
46.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
202
3.28 IPS |
|
|
Image Segmentation (HP)
|
100% |
197
3.19 IPS |
|
|
Image Segmentation (Q)
|
98% |
331
5.38 IPS |
|
|
Pose Estimation (SP)
|
100% |
755
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
660
0.77 IPS |
|
|
Pose Estimation (Q)
|
84% |
554
0.66 IPS |
|
|
Object Detection (SP)
|
100% |
182
14.4 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (Q)
|
83% |
253
20.4 IPS |
|
|
Face Detection (SP)
|
100% |
411
4.89 IPS |
|
|
Face Detection (HP)
|
100% |
404
4.80 IPS |
|
|
Face Detection (Q)
|
95% |
553
6.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
503
3.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
539
4.15 IPS |
|
|
Depth Estimation (Q)
|
64% |
588
5.39 IPS |
|
|
Style Transfer (SP)
|
89% |
1355
1.76 IPS |
|
|
Style Transfer (HP)
|
89% |
1381
1.79 IPS |
|
|
Style Transfer (Q)
|
98% |
1569
2.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
259
9.56 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
280
10.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
339
12.6 IPS |
|
|
Text Classification (SP)
|
100% |
195
259.8 IPS |
|
|
Text Classification (HP)
|
100% |
176
234.6 IPS |
|
|
Text Classification (Q)
|
88% |
157
211.6 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (HP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (Q)
|
50% |
104
3.71 IPS |
