Xiaomi 24069RA21C
Geekbench ML Score
734
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 08:14 AM |
| Views | 5 |
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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
502
93.9 IPS |
|
|
Image Classification (F16)
|
100% |
506
94.8 IPS |
|
|
Image Classification (I8)
|
99% |
483
90.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
571
9.54 IPS |
|
|
Image Segmentation (F16)
|
100% |
988
16.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
879
14.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
739
0.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
1181
1.43 IPS |
|
|
Pose Estimation (I8)
|
100% |
1205
1.46 IPS |
|
|
Object Detection (F32)
|
100% |
239
17.9 IPS |
|
|
Object Detection (F16)
|
100% |
319
23.8 IPS |
|
|
Object Detection (I8)
|
62% |
359
26.8 IPS |
|
|
Face Detection (F32)
|
100% |
1445
17.2 IPS |
|
|
Face Detection (F16)
|
97% |
2149
25.6 IPS |
|
|
Face Detection (I8)
|
86% |
1697
20.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1071
8.30 IPS |
|
|
Depth Estimation (F16)
|
100% |
1735
13.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
1882
14.6 IPS |
|
|
Style Transfer (F32)
|
100% |
3335
4.39 IPS |
|
|
Style Transfer (F16)
|
100% |
4413
5.81 IPS |
|
|
Style Transfer (I8)
|
98% |
4419
5.81 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
351
12.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
550
19.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
650
23.2 IPS |
|
|
Text Classification (F32)
|
100% |
193
277.7 IPS |
|
|
Text Classification (F16)
|
100% |
193
277.4 IPS |
|
|
Text Classification (I8)
|
92% |
199
286.7 IPS |
|
|
Machine Translation (F32)
|
100% |
357
6.56 IPS |
|
|
Machine Translation (F16)
|
100% |
360
6.63 IPS |
|
|
Machine Translation (I8)
|
64% |
388
7.14 IPS |
