Nothing A015
Geekbench ML Score
1559
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 25 2024 06:03 PM |
| Views | 2 |
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% |
427
79.8 IPS |
|
|
Image Classification (F16)
|
100% |
1519
284.2 IPS |
|
|
Image Classification (I8)
|
97% |
4556
852.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
542
9.05 IPS |
|
|
Image Segmentation (F16)
|
100% |
1575
26.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2003
33.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
2610
3.16 IPS |
|
|
Pose Estimation (F16)
|
100% |
5563
6.74 IPS |
|
|
Pose Estimation (I8)
|
100% |
26077
31.6 IPS |
|
|
Object Detection (F32)
|
100% |
311
23.2 IPS |
|
|
Object Detection (F16)
|
100% |
1016
75.9 IPS |
|
|
Object Detection (I8)
|
64% |
1803
134.6 IPS |
|
|
Face Detection (F32)
|
100% |
1304
15.5 IPS |
|
|
Face Detection (F16)
|
97% |
3769
44.8 IPS |
|
|
Face Detection (I8)
|
86% |
8783
104.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
397
3.08 IPS |
|
|
Depth Estimation (F16)
|
100% |
6961
54.0 IPS |
|
|
Depth Estimation (I8)
|
95% |
13122
101.8 IPS |
|
|
Style Transfer (F32)
|
100% |
1639
2.16 IPS |
|
|
Style Transfer (F16)
|
100% |
1439
1.89 IPS |
|
|
Style Transfer (I8)
|
31% |
4330
5.70 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
962
34.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4253
151.9 IPS |
|
|
Image Super-Resolution (I8)
|
33% |
10910
389.6 IPS |
|
|
Text Classification (F32)
|
100% |
68
97.9 IPS |
|
|
Text Classification (F16)
|
100% |
976
1.40 KIPS |
|
|
Text Classification (I8)
|
92% |
1091
1.57 KIPS |
|
|
Machine Translation (F32)
|
100% |
185
3.40 IPS |
|
|
Machine Translation (F16)
|
100% |
190
3.49 IPS |
|
|
Machine Translation (I8)
|
66% |
314
5.78 IPS |
