Acer M10-11
Geekbench AI Score
325
Single Precision Score
320
Half Precision Score
363
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 15 2025 06:01 AM |
| Views | 1 |
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% |
157
29.2 IPS |
|
|
Image Classification (HP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (Q)
|
100% |
253
47.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
193
3.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
322
5.24 IPS |
|
|
Pose Estimation (SP)
|
100% |
754
0.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
704
0.82 IPS |
|
|
Pose Estimation (Q)
|
84% |
581
0.69 IPS |
|
|
Object Detection (SP)
|
100% |
175
13.9 IPS |
|
|
Object Detection (HP)
|
100% |
181
14.4 IPS |
|
|
Object Detection (Q)
|
83% |
250
20.2 IPS |
|
|
Face Detection (SP)
|
100% |
397
4.72 IPS |
|
|
Face Detection (HP)
|
100% |
405
4.82 IPS |
|
|
Face Detection (Q)
|
95% |
598
7.14 IPS |
|
|
Depth Estimation (SP)
|
100% |
545
4.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
447
3.44 IPS |
|
|
Depth Estimation (Q)
|
64% |
577
5.28 IPS |
|
|
Style Transfer (SP)
|
89% |
1371
1.78 IPS |
|
|
Style Transfer (HP)
|
89% |
1335
1.73 IPS |
|
|
Style Transfer (Q)
|
98% |
1494
1.93 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
242
8.92 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
251
9.28 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
323
12.0 IPS |
|
|
Text Classification (SP)
|
100% |
176
234.9 IPS |
|
|
Text Classification (HP)
|
100% |
171
228.1 IPS |
|
|
Text Classification (Q)
|
88% |
190
255.6 IPS |
|
|
Machine Translation (SP)
|
100% |
265
4.57 IPS |
|
|
Machine Translation (HP)
|
100% |
270
4.66 IPS |
|
|
Machine Translation (Q)
|
50% |
107
3.81 IPS |
