Google ZTE A2020G Pro
Geekbench ML Score
462
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 23 2024 09:03 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google ZTE A2020G Pro |
| Model ID | Google ZTE A2020G Pro |
| Motherboard | cheetah |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.35 GHz |
| Cluster 3 | 2 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
260
48.7 IPS |
|
|
Image Classification (F16)
|
100% |
254
47.5 IPS |
|
|
Image Classification (I8)
|
97% |
550
102.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
369
6.16 IPS |
|
|
Image Segmentation (F16)
|
100% |
361
6.04 IPS |
|
|
Image Segmentation (I8)
|
98% |
634
10.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
617
0.75 IPS |
|
|
Pose Estimation (F16)
|
100% |
590
0.71 IPS |
|
|
Pose Estimation (I8)
|
100% |
3174
3.84 IPS |
|
|
Object Detection (F32)
|
100% |
240
17.9 IPS |
|
|
Object Detection (F16)
|
100% |
246
18.3 IPS |
|
|
Object Detection (I8)
|
61% |
397
29.6 IPS |
|
|
Face Detection (F32)
|
100% |
499
5.93 IPS |
|
|
Face Detection (F16)
|
100% |
462
5.49 IPS |
|
|
Face Detection (I8)
|
86% |
940
11.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
465
3.61 IPS |
|
|
Depth Estimation (F16)
|
100% |
427
3.32 IPS |
|
|
Depth Estimation (I8)
|
95% |
901
6.99 IPS |
|
|
Style Transfer (F32)
|
100% |
856
1.13 IPS |
|
|
Style Transfer (F16)
|
100% |
754
0.99 IPS |
|
|
Style Transfer (I8)
|
98% |
1799
2.37 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
260
9.28 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
256
9.15 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
794
28.4 IPS |
|
|
Text Classification (F32)
|
100% |
222
319.0 IPS |
|
|
Text Classification (F16)
|
100% |
221
318.0 IPS |
|
|
Text Classification (I8)
|
92% |
227
325.6 IPS |
|
|
Machine Translation (F32)
|
100% |
396
7.29 IPS |
|
|
Machine Translation (F16)
|
100% |
415
7.63 IPS |
|
|
Machine Translation (I8)
|
64% |
248
4.56 IPS |
