Xiaomi 24069RA21C
Geekbench ML Score
421
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 08:10 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24069RA21C |
| Model ID | Xiaomi 24069RA21C |
| Motherboard | peridot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 7.12 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
202
37.8 IPS |
|
|
Image Classification (F16)
|
100% |
203
37.9 IPS |
|
|
Image Classification (I8)
|
97% |
511
95.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
258
4.31 IPS |
|
|
Image Segmentation (F16)
|
100% |
258
4.31 IPS |
|
|
Image Segmentation (I8)
|
98% |
526
8.79 IPS |
|
|
Pose Estimation (F32)
|
100% |
367
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
345
0.42 IPS |
|
|
Pose Estimation (I8)
|
100% |
1208
1.46 IPS |
|
|
Object Detection (F32)
|
100% |
212
15.8 IPS |
|
|
Object Detection (F16)
|
100% |
214
16.0 IPS |
|
|
Object Detection (I8)
|
61% |
562
42.0 IPS |
|
|
Face Detection (F32)
|
100% |
517
6.15 IPS |
|
|
Face Detection (F16)
|
100% |
417
4.95 IPS |
|
|
Face Detection (I8)
|
86% |
1169
13.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
453
3.52 IPS |
|
|
Depth Estimation (F16)
|
100% |
321
2.49 IPS |
|
|
Depth Estimation (I8)
|
95% |
966
7.49 IPS |
|
|
Style Transfer (F32)
|
100% |
734
0.97 IPS |
|
|
Style Transfer (F16)
|
100% |
749
0.99 IPS |
|
|
Style Transfer (I8)
|
98% |
1508
1.98 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
237
8.45 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
230
8.22 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
675
24.1 IPS |
|
|
Text Classification (F32)
|
100% |
192
275.9 IPS |
|
|
Text Classification (F16)
|
100% |
215
309.2 IPS |
|
|
Text Classification (I8)
|
92% |
398
572.3 IPS |
|
|
Machine Translation (F32)
|
100% |
494
9.09 IPS |
|
|
Machine Translation (F16)
|
100% |
382
7.04 IPS |
|
|
Machine Translation (I8)
|
64% |
559
10.3 IPS |
