Nothing A142
Geekbench ML Score
1513
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 27 2024 02:19 AM |
| 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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
374
69.9 IPS |
|
|
Image Classification (F16)
|
100% |
1481
277.1 IPS |
|
|
Image Classification (I8)
|
97% |
4172
780.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
312
5.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
1481
24.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1086
18.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
2101
2.54 IPS |
|
|
Pose Estimation (F16)
|
100% |
6119
7.41 IPS |
|
|
Pose Estimation (I8)
|
100% |
24784
30.0 IPS |
|
|
Object Detection (F32)
|
100% |
280
20.9 IPS |
|
|
Object Detection (F16)
|
100% |
1222
91.2 IPS |
|
|
Object Detection (I8)
|
64% |
1803
134.6 IPS |
|
|
Face Detection (F32)
|
25% |
1127
13.4 IPS |
|
|
Face Detection (F16)
|
97% |
3592
42.7 IPS |
|
|
Face Detection (I8)
|
86% |
6908
82.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
593
4.60 IPS |
|
|
Depth Estimation (F16)
|
100% |
6644
51.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
17415
135.1 IPS |
|
|
Style Transfer (F32)
|
100% |
1106
1.45 IPS |
|
|
Style Transfer (F16)
|
100% |
1793
2.36 IPS |
|
|
Style Transfer (I8)
|
31% |
5121
6.74 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
819
29.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4097
146.3 IPS |
|
|
Image Super-Resolution (I8)
|
33% |
11069
395.3 IPS |
|
|
Text Classification (F32)
|
100% |
103
148.3 IPS |
|
|
Text Classification (F16)
|
100% |
726
1.04 KIPS |
|
|
Text Classification (I8)
|
92% |
690
991.8 IPS |
|
|
Machine Translation (F32)
|
100% |
256
4.72 IPS |
|
|
Machine Translation (F16)
|
100% |
315
5.79 IPS |
|
|
Machine Translation (I8)
|
76% |
367
6.75 IPS |
