motorola moto g54 5G
Geekbench ML Score
408
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 29 2024 08:38 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | motorola moto g54 5G |
| Model ID | motorola moto g54 5G |
| Motherboard | cancunf |
| 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 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 11.35 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
186
34.9 IPS |
|
|
Image Classification (F16)
|
100% |
190
35.5 IPS |
|
|
Image Classification (I8)
|
97% |
391
73.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
266
4.45 IPS |
|
|
Image Segmentation (F16)
|
100% |
278
4.64 IPS |
|
|
Image Segmentation (I8)
|
98% |
457
7.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
386
0.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
384
0.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
1779
2.15 IPS |
|
|
Object Detection (F32)
|
100% |
206
15.4 IPS |
|
|
Object Detection (F16)
|
100% |
206
15.3 IPS |
|
|
Object Detection (I8)
|
61% |
438
32.7 IPS |
|
|
Face Detection (F32)
|
100% |
445
5.30 IPS |
|
|
Face Detection (F16)
|
100% |
442
5.25 IPS |
|
|
Face Detection (I8)
|
86% |
963
11.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
426
3.30 IPS |
|
|
Depth Estimation (F16)
|
100% |
418
3.24 IPS |
|
|
Depth Estimation (I8)
|
95% |
1011
7.84 IPS |
|
|
Style Transfer (F32)
|
100% |
731
0.96 IPS |
|
|
Style Transfer (F16)
|
100% |
730
0.96 IPS |
|
|
Style Transfer (I8)
|
98% |
2086
2.74 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
256
9.13 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
249
8.88 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
681
24.3 IPS |
|
|
Text Classification (F32)
|
100% |
225
322.7 IPS |
|
|
Text Classification (F16)
|
100% |
222
318.8 IPS |
|
|
Text Classification (I8)
|
92% |
189
271.2 IPS |
|
|
Machine Translation (F32)
|
100% |
480
8.84 IPS |
|
|
Machine Translation (F16)
|
100% |
487
8.96 IPS |
|
|
Machine Translation (I8)
|
64% |
260
4.78 IPS |
