meizu MEIZU 20
Geekbench ML Score
1038
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 27 2024 03:07 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% |
531
99.3 IPS |
|
|
Image Classification (F16)
|
100% |
524
98.1 IPS |
|
|
Image Classification (I8)
|
97% |
808
151.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
643
10.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
638
10.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
656
11.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
1244
1.51 IPS |
|
|
Pose Estimation (F16)
|
100% |
1230
1.49 IPS |
|
|
Pose Estimation (I8)
|
100% |
5085
6.16 IPS |
|
|
Object Detection (F32)
|
100% |
559
41.8 IPS |
|
|
Object Detection (F16)
|
100% |
500
37.3 IPS |
|
|
Object Detection (I8)
|
61% |
959
71.6 IPS |
|
|
Face Detection (F32)
|
100% |
1060
12.6 IPS |
|
|
Face Detection (F16)
|
100% |
1112
13.2 IPS |
|
|
Face Detection (I8)
|
86% |
1864
22.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1245
9.66 IPS |
|
|
Depth Estimation (F16)
|
100% |
1219
9.46 IPS |
|
|
Depth Estimation (I8)
|
95% |
2170
16.8 IPS |
|
|
Style Transfer (F32)
|
100% |
2219
2.92 IPS |
|
|
Style Transfer (F16)
|
100% |
2217
2.92 IPS |
|
|
Style Transfer (I8)
|
98% |
4036
5.31 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
801
28.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
847
30.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2298
82.1 IPS |
|
|
Text Classification (F32)
|
100% |
609
875.3 IPS |
|
|
Text Classification (F16)
|
100% |
611
878.5 IPS |
|
|
Text Classification (I8)
|
92% |
483
694.8 IPS |
|
|
Machine Translation (F32)
|
100% |
1185
21.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1207
22.2 IPS |
|
|
Machine Translation (I8)
|
64% |
423
7.78 IPS |
