Motorola Edge 40
Geekbench AI Score
578
Single Precision Score
576
Half Precision Score
1141
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 03 2025 07:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 8020 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Motorola Edge 40 |
| Model ID | motorola motorola edge 40 |
| Motherboard | lyriq |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| 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 | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
283
52.7 IPS |
|
|
Image Classification (HP)
|
100% |
289
53.7 IPS |
|
|
Image Classification (Q)
|
100% |
894
166.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
378
6.13 IPS |
|
|
Image Segmentation (HP)
|
100% |
350
5.67 IPS |
|
|
Image Segmentation (Q)
|
98% |
920
15.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1236
1.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
1255
1.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
2161
2.56 IPS |
|
|
Object Detection (SP)
|
100% |
257
20.4 IPS |
|
|
Object Detection (HP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (Q)
|
83% |
751
60.7 IPS |
|
|
Face Detection (SP)
|
100% |
832
9.88 IPS |
|
|
Face Detection (HP)
|
100% |
837
9.95 IPS |
|
|
Face Detection (Q)
|
95% |
1892
22.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1030
7.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
1020
7.86 IPS |
|
|
Depth Estimation (Q)
|
64% |
1888
17.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2366
3.07 IPS |
|
|
Style Transfer (HP)
|
89% |
2389
3.10 IPS |
|
|
Style Transfer (Q)
|
98% |
5105
6.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
542
20.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1131
41.9 IPS |
|
|
Text Classification (SP)
|
100% |
259
345.4 IPS |
|
|
Text Classification (HP)
|
100% |
257
342.5 IPS |
|
|
Text Classification (Q)
|
88% |
509
686.9 IPS |
|
|
Machine Translation (SP)
|
100% |
437
7.52 IPS |
|
|
Machine Translation (HP)
|
100% |
444
7.65 IPS |
|
|
Machine Translation (Q)
|
50% |
267
9.49 IPS |
