Xiaomi 24117RK2CC
Geekbench ML Score
970
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 11 2025 01:45 PM |
| Views | 8 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24117RK2CC |
| Model ID | Xiaomi 24117RK2CC |
| Motherboard | zorn |
| 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 | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 10.84 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
482
90.2 IPS |
|
|
Image Classification (F16)
|
100% |
493
92.3 IPS |
|
|
Image Classification (I8)
|
97% |
775
145.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
651
10.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
623
10.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
694
11.6 IPS |
|
|
Pose Estimation (F32)
|
100% |
1260
1.53 IPS |
|
|
Pose Estimation (F16)
|
100% |
1219
1.48 IPS |
|
|
Pose Estimation (I8)
|
100% |
4551
5.51 IPS |
|
|
Object Detection (F32)
|
100% |
523
39.1 IPS |
|
|
Object Detection (F16)
|
100% |
514
38.4 IPS |
|
|
Object Detection (I8)
|
61% |
1001
74.7 IPS |
|
|
Face Detection (F32)
|
100% |
1219
14.5 IPS |
|
|
Face Detection (F16)
|
100% |
1236
14.7 IPS |
|
|
Face Detection (I8)
|
86% |
1774
21.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1168
9.06 IPS |
|
|
Depth Estimation (F16)
|
100% |
1140
8.84 IPS |
|
|
Depth Estimation (I8)
|
95% |
2005
15.5 IPS |
|
|
Style Transfer (F32)
|
100% |
2063
2.71 IPS |
|
|
Style Transfer (F16)
|
100% |
2160
2.84 IPS |
|
|
Style Transfer (I8)
|
98% |
3967
5.22 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
711
25.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
703
25.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1703
60.8 IPS |
|
|
Text Classification (F32)
|
100% |
547
785.5 IPS |
|
|
Text Classification (F16)
|
100% |
508
729.5 IPS |
|
|
Text Classification (I8)
|
92% |
306
439.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1111
20.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1030
19.0 IPS |
|
|
Machine Translation (I8)
|
64% |
394
7.25 IPS |
