motorola motorola edge 40
Geekbench ML Score
893
TensorFlow Lite GPU Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | August 08 2023 06:31 AM |
| Views | 3 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | motorola 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 | 7.29 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
638
68.3 IPS |
|
|
Image Classification (F16)
|
100% |
660
70.7 IPS |
|
|
Image Classification (I8)
|
80% |
608
65.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1855
11.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
3309
20.4 IPS |
|
|
Image Segmentation (I8)
|
89% |
3288
20.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
634
2.57 IPS |
|
|
Pose Estimation (F16)
|
100% |
1857
7.52 IPS |
|
|
Pose Estimation (I8)
|
80% |
1782
7.21 IPS |
|
|
Object Detection (F32)
|
100% |
376
13.2 IPS |
|
|
Object Detection (F16)
|
100% |
612
21.5 IPS |
|
|
Object Detection (I8)
|
54% |
436
15.3 IPS |
|
|
Face Detection (F32)
|
100% |
1401
16.1 IPS |
|
|
Face Detection (F16)
|
97% |
2613
30.0 IPS |
|
|
Face Detection (I8)
|
75% |
2381
27.4 IPS |
|
|
Text Classification (F32)
|
100% |
529
209.2 IPS |
|
|
Text Classification (F16)
|
98% |
469
185.6 IPS |
|
|
Machine Translation (F32)
|
100% |
226
34.8 IPS |
|
|
Machine Translation (F16)
|
100% |
222
34.3 IPS |
