Nothing A142
Geekbench ML Score
1524
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | February 28 2024 05:24 PM |
| Views | 7 |
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 | 11.16 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
370
69.2 IPS |
|
|
Image Classification (F16)
|
100% |
1482
277.3 IPS |
|
|
Image Classification (I8)
|
97% |
4214
788.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
312
5.21 IPS |
|
|
Image Segmentation (F16)
|
100% |
1504
25.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1086
18.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
2118
2.56 IPS |
|
|
Pose Estimation (F16)
|
100% |
6123
7.42 IPS |
|
|
Pose Estimation (I8)
|
100% |
24844
30.1 IPS |
|
|
Object Detection (F32)
|
100% |
282
21.0 IPS |
|
|
Object Detection (F16)
|
100% |
1214
90.7 IPS |
|
|
Object Detection (I8)
|
64% |
1782
133.0 IPS |
|
|
Face Detection (F32)
|
25% |
1123
13.3 IPS |
|
|
Face Detection (F16)
|
97% |
3623
43.1 IPS |
|
|
Face Detection (I8)
|
86% |
6929
82.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
594
4.61 IPS |
|
|
Depth Estimation (F16)
|
100% |
6678
51.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
17283
134.0 IPS |
|
|
Style Transfer (F32)
|
100% |
1114
1.46 IPS |
|
|
Style Transfer (F16)
|
100% |
1807
2.38 IPS |
|
|
Style Transfer (I8)
|
31% |
5118
6.73 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
824
29.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4113
146.9 IPS |
|
|
Image Super-Resolution (I8)
|
33% |
11249
401.7 IPS |
|
|
Text Classification (F32)
|
100% |
99
141.9 IPS |
|
|
Text Classification (F16)
|
100% |
806
1.16 KIPS |
|
|
Text Classification (I8)
|
92% |
768
1.10 KIPS |
|
|
Machine Translation (F32)
|
100% |
254
4.68 IPS |
|
|
Machine Translation (F16)
|
100% |
309
5.68 IPS |
|
|
Machine Translation (I8)
|
76% |
370
6.80 IPS |
