Motorola Edge 40
Geekbench AI Score
705
Single Precision Score
973
Half Precision Score
822
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | June 30 2025 09:06 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
429
79.8 IPS |
|
|
Image Classification (HP)
|
100% |
685
127.4 IPS |
|
|
Image Classification (Q)
|
97% |
633
118.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
797
12.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1079
17.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1018
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
3693
4.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
6560
7.65 IPS |
|
|
Pose Estimation (Q)
|
95% |
6306
7.39 IPS |
|
|
Object Detection (SP)
|
100% |
331
26.3 IPS |
|
|
Object Detection (HP)
|
99% |
518
41.1 IPS |
|
|
Object Detection (Q)
|
83% |
494
39.9 IPS |
|
|
Face Detection (SP)
|
100% |
1216
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1920
22.8 IPS |
|
|
Face Detection (Q)
|
96% |
1746
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1959
15.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3188
24.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
2342
22.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5670
7.29 IPS |
|
|
Style Transfer (HP)
|
100% |
11947
15.4 IPS |
|
|
Style Transfer (Q)
|
98% |
11811
15.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1005
37.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1263
46.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1188
44.0 IPS |
|
|
Text Classification (SP)
|
35% |
14
127.0 IPS |
|
|
Text Classification (HP)
|
29% |
9
159.7 IPS |
|
|
Text Classification (Q)
|
32% |
14
182.3 IPS |
|
|
Machine Translation (SP)
|
100% |
387
6.66 IPS |
|
|
Machine Translation (HP)
|
100% |
367
6.32 IPS |
|
|
Machine Translation (Q)
|
43% |
88
5.12 IPS |
