Nothing A065
Geekbench ML Score
768
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 19 2024 02:09 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Nothing A065 |
| Model ID | Nothing A065 |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 11.00 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
382
71.6 IPS |
|
|
Image Classification (F16)
|
100% |
382
71.5 IPS |
|
|
Image Classification (I8)
|
97% |
657
122.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
494
8.25 IPS |
|
|
Image Segmentation (F16)
|
100% |
488
8.15 IPS |
|
|
Image Segmentation (I8)
|
98% |
611
10.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
989
1.20 IPS |
|
|
Pose Estimation (F16)
|
100% |
968
1.17 IPS |
|
|
Pose Estimation (I8)
|
100% |
3541
4.29 IPS |
|
|
Object Detection (F32)
|
100% |
356
26.6 IPS |
|
|
Object Detection (F16)
|
100% |
359
26.8 IPS |
|
|
Object Detection (I8)
|
61% |
828
61.8 IPS |
|
|
Face Detection (F32)
|
100% |
847
10.1 IPS |
|
|
Face Detection (F16)
|
100% |
845
10.0 IPS |
|
|
Face Detection (I8)
|
86% |
1624
19.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
966
7.49 IPS |
|
|
Depth Estimation (F16)
|
100% |
949
7.36 IPS |
|
|
Depth Estimation (I8)
|
95% |
2035
15.8 IPS |
|
|
Style Transfer (F32)
|
100% |
1804
2.37 IPS |
|
|
Style Transfer (F16)
|
100% |
1810
2.38 IPS |
|
|
Style Transfer (I8)
|
98% |
3519
4.63 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
520
18.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
515
18.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1362
48.7 IPS |
|
|
Text Classification (F32)
|
100% |
395
567.0 IPS |
|
|
Text Classification (F16)
|
100% |
391
562.6 IPS |
|
|
Text Classification (I8)
|
92% |
290
416.7 IPS |
|
|
Machine Translation (F32)
|
100% |
782
14.4 IPS |
|
|
Machine Translation (F16)
|
100% |
795
14.6 IPS |
|
|
Machine Translation (I8)
|
64% |
284
5.23 IPS |
