Motorola Edge 40
Geekbench AI Score
692
Single Precision Score
688
Half Precision Score
1335
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 19 2025 03:27 PM |
| Views | 1 |
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% |
359
66.7 IPS |
|
|
Image Classification (HP)
|
100% |
347
64.5 IPS |
|
|
Image Classification (Q)
|
100% |
1004
186.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
494
8.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
469
7.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
1110
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
1572
1.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
1529
1.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
2550
3.02 IPS |
|
|
Object Detection (SP)
|
100% |
293
23.2 IPS |
|
|
Object Detection (HP)
|
100% |
293
23.2 IPS |
|
|
Object Detection (Q)
|
83% |
862
69.6 IPS |
|
|
Face Detection (SP)
|
100% |
951
11.3 IPS |
|
|
Face Detection (HP)
|
100% |
957
11.4 IPS |
|
|
Face Detection (Q)
|
95% |
2186
26.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1150
8.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
1162
8.95 IPS |
|
|
Depth Estimation (Q)
|
64% |
2226
20.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2812
3.65 IPS |
|
|
Style Transfer (HP)
|
89% |
2812
3.65 IPS |
|
|
Style Transfer (Q)
|
98% |
5976
7.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
657
24.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
659
24.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1368
50.7 IPS |
|
|
Text Classification (SP)
|
100% |
299
399.4 IPS |
|
|
Text Classification (HP)
|
100% |
303
404.2 IPS |
|
|
Text Classification (Q)
|
88% |
577
778.2 IPS |
|
|
Machine Translation (SP)
|
100% |
517
8.90 IPS |
|
|
Machine Translation (HP)
|
100% |
524
9.03 IPS |
|
|
Machine Translation (Q)
|
50% |
321
11.4 IPS |
