Nothing A015
Geekbench ML Score
1530
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | September 25 2024 05:59 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% |
423
79.1 IPS |
|
|
Image Classification (F16)
|
100% |
1525
285.3 IPS |
|
|
Image Classification (I8)
|
97% |
4572
855.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
544
9.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
1586
26.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
2000
33.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
2573
3.12 IPS |
|
|
Pose Estimation (F16)
|
100% |
5582
6.76 IPS |
|
|
Pose Estimation (I8)
|
100% |
26085
31.6 IPS |
|
|
Object Detection (F32)
|
100% |
308
23.0 IPS |
|
|
Object Detection (F16)
|
100% |
1093
81.6 IPS |
|
|
Object Detection (I8)
|
64% |
1793
133.9 IPS |
|
|
Face Detection (F32)
|
100% |
1307
15.5 IPS |
|
|
Face Detection (F16)
|
97% |
3746
44.5 IPS |
|
|
Face Detection (I8)
|
86% |
8771
104.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
398
3.08 IPS |
|
|
Depth Estimation (F16)
|
100% |
6948
53.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
13268
102.9 IPS |
|
|
Style Transfer (F32)
|
100% |
1635
2.15 IPS |
|
|
Style Transfer (F16)
|
100% |
1441
1.90 IPS |
|
|
Style Transfer (I8)
|
31% |
4330
5.70 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
964
34.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
4271
152.5 IPS |
|
|
Image Super-Resolution (I8)
|
33% |
10307
368.1 IPS |
|
|
Text Classification (F32)
|
100% |
68
98.4 IPS |
|
|
Text Classification (F16)
|
100% |
967
1.39 KIPS |
|
|
Text Classification (I8)
|
92% |
615
884.5 IPS |
|
|
Machine Translation (F32)
|
100% |
184
3.38 IPS |
|
|
Machine Translation (F16)
|
100% |
190
3.50 IPS |
|
|
Machine Translation (I8)
|
66% |
315
5.80 IPS |
