Xiaomi 24122RKC7C
Geekbench ML Score
349
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | October 14 2025 02:26 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24122RKC7C |
| Model ID | Xiaomi 24122RKC7C |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
134
25.1 IPS |
|
|
Image Classification (F16)
|
100% |
134
25.0 IPS |
|
|
Image Classification (I8)
|
97% |
360
67.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
172
2.87 IPS |
|
|
Image Segmentation (F16)
|
100% |
172
2.87 IPS |
|
|
Image Segmentation (I8)
|
98% |
363
6.06 IPS |
|
|
Pose Estimation (F32)
|
100% |
239
0.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
239
0.29 IPS |
|
|
Pose Estimation (I8)
|
100% |
906
1.10 IPS |
|
|
Object Detection (F32)
|
100% |
141
10.5 IPS |
|
|
Object Detection (F16)
|
100% |
142
10.6 IPS |
|
|
Object Detection (I8)
|
61% |
401
30.0 IPS |
|
|
Face Detection (F32)
|
100% |
378
4.49 IPS |
|
|
Face Detection (F16)
|
100% |
377
4.48 IPS |
|
|
Face Detection (I8)
|
86% |
818
9.73 IPS |
|
|
Depth Estimation (F32)
|
100% |
316
2.45 IPS |
|
|
Depth Estimation (F16)
|
100% |
317
2.45 IPS |
|
|
Depth Estimation (I8)
|
95% |
884
6.85 IPS |
|
|
Style Transfer (F32)
|
100% |
588
0.77 IPS |
|
|
Style Transfer (F16)
|
100% |
589
0.77 IPS |
|
|
Style Transfer (I8)
|
98% |
1627
2.14 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
164
5.87 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
164
5.87 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
573
20.5 IPS |
|
|
Text Classification (F32)
|
100% |
341
490.6 IPS |
|
|
Text Classification (F16)
|
100% |
187
268.2 IPS |
|
|
Text Classification (I8)
|
92% |
526
755.8 IPS |
|
|
Machine Translation (F32)
|
100% |
616
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
621
11.4 IPS |
|
|
Machine Translation (I8)
|
64% |
628
11.6 IPS |
