Xiaomi 21121210G
Geekbench ML Score
399
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | February 23 2024 01:20 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 21121210G |
| Model ID | Xiaomi 21121210G |
| 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 | 1.78 GHz |
| Cluster 1 | 4 Cores @ 1.79 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.91 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
218
40.8 IPS |
|
|
Image Classification (F16)
|
100% |
223
41.7 IPS |
|
|
Image Classification (I8)
|
97% |
200
37.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
311
5.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
288
4.81 IPS |
|
|
Image Segmentation (I8)
|
98% |
349
5.83 IPS |
|
|
Pose Estimation (F32)
|
100% |
634
0.77 IPS |
|
|
Pose Estimation (F16)
|
100% |
637
0.77 IPS |
|
|
Pose Estimation (I8)
|
100% |
2172
2.63 IPS |
|
|
Object Detection (F32)
|
100% |
195
14.6 IPS |
|
|
Object Detection (F16)
|
100% |
213
15.9 IPS |
|
|
Object Detection (I8)
|
61% |
305
22.8 IPS |
|
|
Face Detection (F32)
|
100% |
457
5.44 IPS |
|
|
Face Detection (F16)
|
100% |
450
5.36 IPS |
|
|
Face Detection (I8)
|
86% |
616
7.33 IPS |
|
|
Depth Estimation (F32)
|
100% |
439
3.40 IPS |
|
|
Depth Estimation (F16)
|
100% |
437
3.39 IPS |
|
|
Depth Estimation (I8)
|
95% |
790
6.13 IPS |
|
|
Style Transfer (F32)
|
100% |
1135
1.49 IPS |
|
|
Style Transfer (F16)
|
100% |
1128
1.48 IPS |
|
|
Style Transfer (I8)
|
98% |
2317
3.05 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
289
10.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
269
9.60 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
582
20.8 IPS |
|
|
Text Classification (F32)
|
100% |
229
329.3 IPS |
|
|
Text Classification (F16)
|
100% |
228
328.1 IPS |
|
|
Text Classification (I8)
|
92% |
119
170.4 IPS |
|
|
Machine Translation (F32)
|
100% |
320
5.89 IPS |
|
|
Machine Translation (F16)
|
100% |
333
6.12 IPS |
|
|
Machine Translation (I8)
|
64% |
189
3.49 IPS |
