Acer M10-11
Geekbench AI Score
292
Single Precision Score
299
Half Precision Score
330
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 28 2025 01:38 PM |
| Views | 3 |
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% |
164
30.5 IPS |
|
|
Image Classification (HP)
|
100% |
161
30.0 IPS |
|
|
Image Classification (Q)
|
100% |
239
44.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
199
3.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
331
5.39 IPS |
|
|
Pose Estimation (SP)
|
100% |
775
0.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
700
0.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
550
0.65 IPS |
|
|
Object Detection (SP)
|
100% |
109
8.61 IPS |
|
|
Object Detection (HP)
|
100% |
114
9.01 IPS |
|
|
Object Detection (Q)
|
83% |
186
15.0 IPS |
|
|
Face Detection (SP)
|
100% |
289
3.44 IPS |
|
|
Face Detection (HP)
|
100% |
302
3.59 IPS |
|
|
Face Detection (Q)
|
95% |
470
5.61 IPS |
|
|
Depth Estimation (SP)
|
100% |
439
3.38 IPS |
|
|
Depth Estimation (HP)
|
99% |
486
3.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
553
5.07 IPS |
|
|
Style Transfer (SP)
|
89% |
1378
1.79 IPS |
|
|
Style Transfer (HP)
|
89% |
1372
1.78 IPS |
|
|
Style Transfer (Q)
|
98% |
1389
1.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
250
9.24 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
280
10.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
335
12.4 IPS |
|
|
Text Classification (SP)
|
100% |
175
234.0 IPS |
|
|
Text Classification (HP)
|
100% |
172
228.9 IPS |
|
|
Text Classification (Q)
|
88% |
192
258.7 IPS |
|
|
Machine Translation (SP)
|
100% |
215
3.70 IPS |
|
|
Machine Translation (HP)
|
100% |
211
3.63 IPS |
|
|
Machine Translation (Q)
|
50% |
84
2.98 IPS |
