Motorola Edge 40
Geekbench AI Score
348
Single Precision Score
480
Half Precision Score
475
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Keitan924111 |
| Upload Date | June 20 2025 09:39 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
283
52.6 IPS |
|
|
Image Classification (HP)
|
100% |
434
80.8 IPS |
|
|
Image Classification (Q)
|
99% |
396
73.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
431
6.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
561
9.12 IPS |
|
|
Pose Estimation (SP)
|
100% |
260
0.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
316
0.37 IPS |
|
|
Pose Estimation (Q)
|
96% |
314
0.37 IPS |
|
|
Object Detection (SP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (HP)
|
100% |
378
29.9 IPS |
|
|
Object Detection (Q)
|
83% |
296
24.0 IPS |
|
|
Face Detection (SP)
|
100% |
825
9.81 IPS |
|
|
Face Detection (HP)
|
100% |
1216
14.5 IPS |
|
|
Face Detection (Q)
|
97% |
1256
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
485
3.74 IPS |
|
|
Depth Estimation (HP)
|
99% |
647
4.99 IPS |
|
|
Depth Estimation (Q)
|
62% |
519
4.91 IPS |
|
|
Style Transfer (SP)
|
100% |
1069
1.37 IPS |
|
|
Style Transfer (HP)
|
100% |
1668
2.14 IPS |
|
|
Style Transfer (Q)
|
98% |
1649
2.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
269
9.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
444
16.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
408
15.1 IPS |
|
|
Text Classification (SP)
|
100% |
145
193.6 IPS |
|
|
Text Classification (HP)
|
100% |
144
191.6 IPS |
|
|
Text Classification (Q)
|
91% |
315
424.0 IPS |
|
|
Machine Translation (SP)
|
100% |
238
4.10 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (Q)
|
57% |
205
5.01 IPS |
