Xiaomi 24122RKC7C
Geekbench ML Score
1124
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | October 14 2025 02:21 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
646
120.8 IPS |
|
|
Image Classification (F16)
|
100% |
841
157.4 IPS |
|
|
Image Classification (I8)
|
100% |
708
132.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
985
16.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
1449
24.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1375
23.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
1433
1.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
2441
2.96 IPS |
|
|
Pose Estimation (I8)
|
100% |
2433
2.95 IPS |
|
|
Object Detection (F32)
|
100% |
440
32.8 IPS |
|
|
Object Detection (F16)
|
100% |
517
38.6 IPS |
|
|
Object Detection (I8)
|
59% |
444
33.1 IPS |
|
|
Face Detection (F32)
|
100% |
2769
32.9 IPS |
|
|
Face Detection (F16)
|
97% |
5054
60.1 IPS |
|
|
Face Detection (I8)
|
86% |
4098
48.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
1472
11.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
4138
32.1 IPS |
|
|
Depth Estimation (I8)
|
94% |
4124
32.0 IPS |
|
|
Style Transfer (F32)
|
100% |
5026
6.61 IPS |
|
|
Style Transfer (F16)
|
100% |
7826
10.3 IPS |
|
|
Style Transfer (I8)
|
98% |
7550
9.93 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
446
15.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
706
25.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
719
25.7 IPS |
|
|
Text Classification (F32)
|
100% |
186
267.1 IPS |
|
|
Text Classification (F16)
|
100% |
187
268.2 IPS |
|
|
Text Classification (I8)
|
92% |
312
448.1 IPS |
|
|
Machine Translation (F32)
|
100% |
356
6.56 IPS |
|
|
Machine Translation (F16)
|
100% |
359
6.61 IPS |
|
|
Machine Translation (I8)
|
64% |
391
7.20 IPS |
