Xiaomi 24069RA21C
Geekbench ML Score
670
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 17 2025 08:04 AM |
| Views | 3 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
437
81.8 IPS |
|
|
Image Classification (F16)
|
100% |
413
77.2 IPS |
|
|
Image Classification (I8)
|
97% |
570
106.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
473
7.91 IPS |
|
|
Image Segmentation (F16)
|
100% |
477
7.97 IPS |
|
|
Image Segmentation (I8)
|
98% |
577
9.64 IPS |
|
|
Pose Estimation (F32)
|
100% |
969
1.17 IPS |
|
|
Pose Estimation (F16)
|
100% |
920
1.11 IPS |
|
|
Pose Estimation (I8)
|
100% |
3823
4.63 IPS |
|
|
Object Detection (F32)
|
100% |
250
18.7 IPS |
|
|
Object Detection (F16)
|
100% |
280
20.9 IPS |
|
|
Object Detection (I8)
|
61% |
313
23.4 IPS |
|
|
Face Detection (F32)
|
100% |
703
8.36 IPS |
|
|
Face Detection (F16)
|
100% |
661
7.86 IPS |
|
|
Face Detection (I8)
|
86% |
1200
14.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
730
5.66 IPS |
|
|
Depth Estimation (F16)
|
100% |
763
5.92 IPS |
|
|
Depth Estimation (I8)
|
95% |
1277
9.90 IPS |
|
|
Style Transfer (F32)
|
100% |
1721
2.26 IPS |
|
|
Style Transfer (F16)
|
100% |
1626
2.14 IPS |
|
|
Style Transfer (I8)
|
98% |
3451
4.54 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
539
19.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
509
18.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1193
42.6 IPS |
|
|
Text Classification (F32)
|
100% |
428
615.1 IPS |
|
|
Text Classification (F16)
|
100% |
498
715.8 IPS |
|
|
Text Classification (I8)
|
92% |
345
495.6 IPS |
|
|
Machine Translation (F32)
|
100% |
478
8.79 IPS |
|
|
Machine Translation (F16)
|
100% |
528
9.71 IPS |
|
|
Machine Translation (I8)
|
64% |
268
4.93 IPS |
