Nothing Phone (1)
Geekbench ML Score
292
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 26 2024 09:08 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Nothing Phone (1) |
| Model ID | Nothing A063 |
| Motherboard | Spacewar |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.40 GHz |
| Cluster 3 | 1 Core @ 2.52 GHz |
| Memory Information | |
|---|---|
| Size | 7.09 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
126
23.6 IPS |
|
|
Image Classification (F16)
|
100% |
126
23.6 IPS |
|
|
Image Classification (I8)
|
97% |
343
64.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
167
2.79 IPS |
|
|
Image Segmentation (F16)
|
100% |
167
2.79 IPS |
|
|
Image Segmentation (I8)
|
98% |
379
6.34 IPS |
|
|
Pose Estimation (F32)
|
100% |
225
0.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
223
0.27 IPS |
|
|
Pose Estimation (I8)
|
100% |
857
1.04 IPS |
|
|
Object Detection (F32)
|
100% |
132
9.85 IPS |
|
|
Object Detection (F16)
|
100% |
132
9.86 IPS |
|
|
Object Detection (I8)
|
61% |
380
28.4 IPS |
|
|
Face Detection (F32)
|
100% |
316
3.75 IPS |
|
|
Face Detection (F16)
|
100% |
318
3.78 IPS |
|
|
Face Detection (I8)
|
86% |
753
8.96 IPS |
|
|
Depth Estimation (F32)
|
100% |
277
2.15 IPS |
|
|
Depth Estimation (F16)
|
100% |
278
2.16 IPS |
|
|
Depth Estimation (I8)
|
95% |
814
6.32 IPS |
|
|
Style Transfer (F32)
|
100% |
479
0.63 IPS |
|
|
Style Transfer (F16)
|
100% |
482
0.63 IPS |
|
|
Style Transfer (I8)
|
98% |
1313
1.73 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
147
5.26 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
147
5.26 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
520
18.6 IPS |
|
|
Text Classification (F32)
|
100% |
170
243.8 IPS |
|
|
Text Classification (F16)
|
100% |
171
245.2 IPS |
|
|
Text Classification (I8)
|
92% |
339
487.2 IPS |
|
|
Machine Translation (F32)
|
100% |
303
5.58 IPS |
|
|
Machine Translation (F16)
|
100% |
301
5.53 IPS |
|
|
Machine Translation (I8)
|
64% |
401
7.37 IPS |
