Motorola Edge 40
Geekbench AI Score
687
Single Precision Score
944
Half Precision Score
790
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 03:32 PM |
| Views | 1 |
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% |
370
68.7 IPS |
|
|
Image Classification (HP)
|
100% |
457
84.9 IPS |
|
|
Image Classification (Q)
|
97% |
491
91.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1139
18.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1046
17.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3779
4.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
6943
8.10 IPS |
|
|
Pose Estimation (Q)
|
95% |
6095
7.14 IPS |
|
|
Object Detection (SP)
|
100% |
286
22.7 IPS |
|
|
Object Detection (HP)
|
99% |
472
37.4 IPS |
|
|
Object Detection (Q)
|
83% |
441
35.6 IPS |
|
|
Face Detection (SP)
|
100% |
1273
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
1996
23.7 IPS |
|
|
Face Detection (Q)
|
96% |
1823
21.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2031
15.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3240
25.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
2493
23.7 IPS |
|
|
Style Transfer (SP)
|
100% |
5964
7.67 IPS |
|
|
Style Transfer (HP)
|
100% |
12293
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
11978
15.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
998
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1263
46.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1240
45.9 IPS |
|
|
Text Classification (SP)
|
35% |
18
160.5 IPS |
|
|
Text Classification (HP)
|
29% |
9
161.5 IPS |
|
|
Text Classification (Q)
|
32% |
12
156.5 IPS |
|
|
Machine Translation (SP)
|
100% |
311
5.35 IPS |
|
|
Machine Translation (HP)
|
100% |
365
6.29 IPS |
|
|
Machine Translation (Q)
|
43% |
85
4.93 IPS |
