Nothing A015
Geekbench ML Score
1562
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 25 2024 05:54 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Nothing A015 |
| Model ID | Nothing A015 |
| Motherboard | Tetris |
| 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 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.50 GHz |
| Memory Information | |
|---|---|
| Size | 7.28 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
424
79.4 IPS |
|
|
Image Classification (F16)
|
100% |
1520
284.5 IPS |
|
|
Image Classification (I8)
|
97% |
4546
850.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
540
9.02 IPS |
|
|
Image Segmentation (F16)
|
100% |
1578
26.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
2004
33.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
2568
3.11 IPS |
|
|
Pose Estimation (F16)
|
100% |
5608
6.79 IPS |
|
|
Pose Estimation (I8)
|
100% |
26110
31.6 IPS |
|
|
Object Detection (F32)
|
100% |
307
22.9 IPS |
|
|
Object Detection (F16)
|
100% |
1082
80.8 IPS |
|
|
Object Detection (I8)
|
64% |
1746
130.4 IPS |
|
|
Face Detection (F32)
|
100% |
1303
15.5 IPS |
|
|
Face Detection (F16)
|
97% |
3765
44.8 IPS |
|
|
Face Detection (I8)
|
86% |
8808
104.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
397
3.08 IPS |
|
|
Depth Estimation (F16)
|
100% |
6964
54.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
13850
107.4 IPS |
|
|
Style Transfer (F32)
|
100% |
1637
2.15 IPS |
|
|
Style Transfer (F16)
|
100% |
1445
1.90 IPS |
|
|
Style Transfer (I8)
|
31% |
4325
5.69 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
963
34.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4250
151.8 IPS |
|
|
Image Super-Resolution (I8)
|
33% |
10668
381.0 IPS |
|
|
Text Classification (F32)
|
100% |
68
98.2 IPS |
|
|
Text Classification (F16)
|
100% |
969
1.39 KIPS |
|
|
Text Classification (I8)
|
92% |
1108
1.59 KIPS |
|
|
Machine Translation (F32)
|
100% |
184
3.39 IPS |
|
|
Machine Translation (F16)
|
100% |
192
3.53 IPS |
|
|
Machine Translation (I8)
|
66% |
316
5.81 IPS |
