Motorola Edge 40
Geekbench AI Score
268
Single Precision Score
262
Half Precision Score
539
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 11:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 8020 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Motorola Edge 40 |
| Model ID | motorola motorola edge 40 |
| Motherboard | lyriq |
| CPU Information | |
|---|---|
| Name | ARM MT6891Z_Z/CZA |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.60 GHz |
| Memory Information | |
|---|---|
| Size | 7.33 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
117
21.7 IPS |
|
|
Image Classification (HP)
|
100% |
123
22.9 IPS |
|
|
Image Classification (Q)
|
100% |
399
74.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
182
2.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
184
2.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
449
7.30 IPS |
|
|
Pose Estimation (SP)
|
100% |
644
0.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
636
0.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1159
1.37 IPS |
|
|
Object Detection (SP)
|
100% |
144
11.4 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.95 IPS |
|
|
Object Detection (Q)
|
83% |
352
28.5 IPS |
|
|
Face Detection (SP)
|
100% |
296
3.52 IPS |
|
|
Face Detection (HP)
|
100% |
305
3.62 IPS |
|
|
Face Detection (Q)
|
95% |
683
8.15 IPS |
|
|
Depth Estimation (SP)
|
100% |
409
3.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
404
3.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
838
7.67 IPS |
|
|
Style Transfer (SP)
|
89% |
1291
1.68 IPS |
|
|
Style Transfer (HP)
|
89% |
1247
1.62 IPS |
|
|
Style Transfer (Q)
|
98% |
2682
3.46 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
231
8.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
230
8.49 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
542
20.1 IPS |
|
|
Text Classification (SP)
|
100% |
121
161.5 IPS |
|
|
Text Classification (HP)
|
100% |
117
156.4 IPS |
|
|
Text Classification (Q)
|
88% |
228
308.1 IPS |
|
|
Machine Translation (SP)
|
100% |
227
3.91 IPS |
|
|
Machine Translation (HP)
|
100% |
234
4.02 IPS |
|
|
Machine Translation (Q)
|
50% |
151
5.36 IPS |
