Xiaomi 24122RKC7C
Geekbench ML Score
1539
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | October 14 2025 02:17 PM |
| Views | 7 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1042
195.0 IPS |
|
|
Image Classification (F16)
|
100% |
937
175.3 IPS |
|
|
Image Classification (I8)
|
97% |
1174
219.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1334
22.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1227
20.5 IPS |
|
|
Image Segmentation (I8)
|
98% |
1155
19.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1733
2.10 IPS |
|
|
Pose Estimation (F16)
|
100% |
1720
2.08 IPS |
|
|
Pose Estimation (I8)
|
100% |
6475
7.84 IPS |
|
|
Object Detection (F32)
|
100% |
877
65.5 IPS |
|
|
Object Detection (F16)
|
100% |
873
65.1 IPS |
|
|
Object Detection (I8)
|
61% |
1327
99.1 IPS |
|
|
Face Detection (F32)
|
100% |
2097
24.9 IPS |
|
|
Face Detection (F16)
|
100% |
2103
25.0 IPS |
|
|
Face Detection (I8)
|
86% |
2597
30.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
1832
14.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
1826
14.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
2991
23.2 IPS |
|
|
Style Transfer (F32)
|
100% |
2895
3.81 IPS |
|
|
Style Transfer (F16)
|
100% |
2917
3.84 IPS |
|
|
Style Transfer (I8)
|
98% |
6780
8.92 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
970
34.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
963
34.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2693
96.2 IPS |
|
|
Text Classification (F32)
|
100% |
740
1.06 KIPS |
|
|
Text Classification (F16)
|
100% |
771
1.11 KIPS |
|
|
Text Classification (I8)
|
92% |
547
786.6 IPS |
|
|
Machine Translation (F32)
|
100% |
1648
30.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1638
30.1 IPS |
|
|
Machine Translation (I8)
|
64% |
704
13.0 IPS |
