Nothing A142
Geekbench ML Score
451
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | August 19 2024 12:31 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Nothing A142 |
| Model ID | Nothing A142 |
| Motherboard | Pacman |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 7.24 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
262
49.0 IPS |
|
|
Image Classification (F16)
|
100% |
250
46.8 IPS |
|
|
Image Classification (I8)
|
97% |
276
51.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
324
5.41 IPS |
|
|
Image Segmentation (F16)
|
100% |
323
5.40 IPS |
|
|
Image Segmentation (I8)
|
98% |
483
8.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
525
0.64 IPS |
|
|
Pose Estimation (F16)
|
100% |
509
0.62 IPS |
|
|
Pose Estimation (I8)
|
100% |
2124
2.57 IPS |
|
|
Object Detection (F32)
|
100% |
243
18.2 IPS |
|
|
Object Detection (F16)
|
100% |
247
18.4 IPS |
|
|
Object Detection (I8)
|
61% |
348
26.0 IPS |
|
|
Face Detection (F32)
|
100% |
506
6.02 IPS |
|
|
Face Detection (F16)
|
100% |
497
5.91 IPS |
|
|
Face Detection (I8)
|
86% |
913
10.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
525
4.07 IPS |
|
|
Depth Estimation (F16)
|
100% |
523
4.06 IPS |
|
|
Depth Estimation (I8)
|
95% |
911
7.07 IPS |
|
|
Style Transfer (F32)
|
100% |
891
1.17 IPS |
|
|
Style Transfer (F16)
|
100% |
917
1.21 IPS |
|
|
Style Transfer (I8)
|
98% |
2670
3.51 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
292
10.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
307
11.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
895
32.0 IPS |
|
|
Text Classification (F32)
|
100% |
264
380.1 IPS |
|
|
Text Classification (F16)
|
100% |
273
391.7 IPS |
|
|
Text Classification (I8)
|
92% |
224
321.3 IPS |
|
|
Machine Translation (F32)
|
100% |
330
6.07 IPS |
|
|
Machine Translation (F16)
|
100% |
317
5.83 IPS |
|
|
Machine Translation (I8)
|
64% |
239
4.39 IPS |
