Acer M10-11
Geekbench AI Score
330
Single Precision Score
331
Half Precision Score
361
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 02 2025 03:12 AM |
| Views | 2 |
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% |
171
31.8 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.8 IPS |
|
|
Image Classification (Q)
|
100% |
255
47.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
196
3.18 IPS |
|
|
Image Segmentation (HP)
|
100% |
202
3.27 IPS |
|
|
Image Segmentation (Q)
|
98% |
316
5.14 IPS |
|
|
Pose Estimation (SP)
|
100% |
753
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
728
0.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
571
0.68 IPS |
|
|
Object Detection (SP)
|
100% |
177
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (Q)
|
83% |
253
20.4 IPS |
|
|
Face Detection (SP)
|
100% |
336
4.00 IPS |
|
|
Face Detection (HP)
|
100% |
395
4.69 IPS |
|
|
Face Detection (Q)
|
95% |
588
7.02 IPS |
|
|
Depth Estimation (SP)
|
100% |
551
4.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
537
4.14 IPS |
|
|
Depth Estimation (Q)
|
64% |
552
5.06 IPS |
|
|
Style Transfer (SP)
|
89% |
1424
1.85 IPS |
|
|
Style Transfer (HP)
|
89% |
1340
1.74 IPS |
|
|
Style Transfer (Q)
|
98% |
1502
1.94 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
285
10.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
277
10.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
334
12.4 IPS |
|
|
Text Classification (SP)
|
100% |
171
228.6 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.5 IPS |
|
|
Text Classification (Q)
|
88% |
188
253.1 IPS |
|
|
Machine Translation (SP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (Q)
|
50% |
108
3.82 IPS |
