meizu MEIZU 20
Geekbench ML Score
216
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 27 2024 02:40 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | meizu MEIZU 20 |
| Model ID | meizu MEIZU 20 |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.94 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
83
15.6 IPS |
|
|
Image Classification (F16)
|
100% |
83
15.5 IPS |
|
|
Image Classification (I8)
|
97% |
87
16.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
307
5.12 IPS |
|
|
Image Segmentation (F16)
|
100% |
316
5.28 IPS |
|
|
Image Segmentation (I8)
|
98% |
370
6.17 IPS |
|
|
Pose Estimation (F32)
|
100% |
867
1.05 IPS |
|
|
Pose Estimation (F16)
|
100% |
826
1.00 IPS |
|
|
Pose Estimation (I8)
|
100% |
2471
2.99 IPS |
|
|
Object Detection (F32)
|
100% |
117
8.76 IPS |
|
|
Object Detection (F16)
|
100% |
115
8.61 IPS |
|
|
Object Detection (I8)
|
61% |
139
10.4 IPS |
|
|
Face Detection (F32)
|
100% |
406
4.82 IPS |
|
|
Face Detection (F16)
|
100% |
407
4.84 IPS |
|
|
Face Detection (I8)
|
86% |
474
5.64 IPS |
|
|
Depth Estimation (F32)
|
100% |
439
3.40 IPS |
|
|
Depth Estimation (F16)
|
100% |
438
3.40 IPS |
|
|
Depth Estimation (I8)
|
95% |
518
4.02 IPS |
|
|
Style Transfer (F32)
|
100% |
1806
2.38 IPS |
|
|
Style Transfer (F16)
|
100% |
1575
2.07 IPS |
|
|
Style Transfer (I8)
|
98% |
2713
3.57 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
220
7.87 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
224
8.01 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
303
10.8 IPS |
|
|
Text Classification (F32)
|
100% |
15
21.8 IPS |
|
|
Text Classification (F16)
|
100% |
15
21.8 IPS |
|
|
Text Classification (I8)
|
92% |
17
23.8 IPS |
|
|
Machine Translation (F32)
|
100% |
35
0.64 IPS |
|
|
Machine Translation (F16)
|
100% |
35
0.64 IPS |
|
|
Machine Translation (I8)
|
64% |
39
0.71 IPS |
