motorola motorola one 5G ace
Geekbench ML Score
438
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.5.0 for Android AArch64
Result Information
| Upload Date | January 25 2023 10:29 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | motorola motorola one 5G ace |
| Model ID | motorola motorola one 5G ace |
| Motherboard | lito |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 5.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
321
34.3 IPS |
|
|
Image Classification (F16)
|
100% |
422
45.2 IPS |
|
|
Image Classification (I8)
|
80% |
1210
129.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
606
3.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
760
4.70 IPS |
|
|
Image Segmentation (I8)
|
89% |
3009
18.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
156
0.63 IPS |
|
|
Pose Estimation (F16)
|
100% |
360
1.46 IPS |
|
|
Pose Estimation (I8)
|
80% |
1352
5.47 IPS |
|
|
Object Detection (F32)
|
100% |
371
13.0 IPS |
|
|
Object Detection (F16)
|
100% |
479
16.8 IPS |
|
|
Object Detection (I8)
|
52% |
841
29.5 IPS |
|
|
Face Detection (F32)
|
100% |
415
4.76 IPS |
|
|
Face Detection (F16)
|
97% |
491
5.65 IPS |
|
|
Face Detection (I8)
|
75% |
2270
26.1 IPS |
|
|
Text Classification (F32)
|
54% |
36
14.4 IPS |
|
|
Text Classification (F16)
|
54% |
32
12.8 IPS |
|
|
Machine Translation (F32)
|
100% |
340
52.5 IPS |
|
|
Machine Translation (F16)
|
100% |
338
52.0 IPS |
