Motorola Edge 40
Geekbench AI Score
772
Single Precision Score
686
Half Precision Score
1424
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 11:10 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% |
377
70.1 IPS |
|
|
Image Classification (HP)
|
100% |
354
65.7 IPS |
|
|
Image Classification (Q)
|
100% |
1244
231.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
432
7.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
436
7.06 IPS |
|
|
Image Segmentation (Q)
|
98% |
1253
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1706
1.99 IPS |
|
|
Pose Estimation (HP)
|
100% |
1781
2.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
3366
3.99 IPS |
|
|
Object Detection (SP)
|
100% |
362
28.7 IPS |
|
|
Object Detection (HP)
|
100% |
365
29.0 IPS |
|
|
Object Detection (Q)
|
83% |
1193
96.4 IPS |
|
|
Face Detection (SP)
|
100% |
1212
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1224
14.5 IPS |
|
|
Face Detection (Q)
|
95% |
2584
30.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1636
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1236
9.52 IPS |
|
|
Depth Estimation (Q)
|
64% |
2442
22.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2966
3.85 IPS |
|
|
Style Transfer (HP)
|
89% |
3026
3.93 IPS |
|
|
Style Transfer (Q)
|
98% |
6323
8.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
675
24.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
696
25.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
899
33.3 IPS |
|
|
Text Classification (SP)
|
100% |
331
442.1 IPS |
|
|
Text Classification (HP)
|
100% |
333
444.1 IPS |
|
|
Text Classification (Q)
|
88% |
608
820.4 IPS |
|
|
Machine Translation (SP)
|
100% |
570
9.82 IPS |
|
|
Machine Translation (HP)
|
100% |
217
3.74 IPS |
|
|
Machine Translation (Q)
|
50% |
252
8.96 IPS |
