Motorola Edge 40
Geekbench AI Score
782
Single Precision Score
718
Half Precision Score
1345
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Keitan924111 |
| Upload Date | June 20 2025 09:22 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
350
65.1 IPS |
|
|
Image Classification (HP)
|
100% |
348
64.7 IPS |
|
|
Image Classification (Q)
|
100% |
1223
227.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
429
6.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
426
6.91 IPS |
|
|
Image Segmentation (Q)
|
98% |
1236
20.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1729
2.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
1692
1.97 IPS |
|
|
Pose Estimation (Q)
|
84% |
3465
4.11 IPS |
|
|
Object Detection (SP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (HP)
|
100% |
331
26.2 IPS |
|
|
Object Detection (Q)
|
83% |
1094
88.4 IPS |
|
|
Face Detection (SP)
|
100% |
1058
12.6 IPS |
|
|
Face Detection (HP)
|
100% |
1054
12.5 IPS |
|
|
Face Detection (Q)
|
95% |
2792
33.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1254
9.66 IPS |
|
|
Depth Estimation (HP)
|
99% |
1302
10.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
1819
16.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3443
4.47 IPS |
|
|
Style Transfer (HP)
|
89% |
3497
4.54 IPS |
|
|
Style Transfer (Q)
|
98% |
4183
5.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
801
29.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
830
30.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1591
59.0 IPS |
|
|
Text Classification (SP)
|
100% |
428
571.0 IPS |
|
|
Text Classification (HP)
|
100% |
173
231.4 IPS |
|
|
Text Classification (Q)
|
88% |
432
582.9 IPS |
|
|
Machine Translation (SP)
|
100% |
635
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
233
8.27 IPS |
