Xiaomi 24116RNC1I
Geekbench ML Score
342
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 04 2025 06:00 PM |
| Views | 9 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24116RNC1I |
| Model ID | Xiaomi 24116RNC1I |
| Motherboard | pitti |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.05 GHz |
| Memory Information | |
|---|---|
| Size | 3.50 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
145
27.2 IPS |
|
|
Image Classification (F16)
|
100% |
143
26.7 IPS |
|
|
Image Classification (I8)
|
97% |
333
62.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
239
3.99 IPS |
|
|
Image Segmentation (F16)
|
100% |
237
3.95 IPS |
|
|
Image Segmentation (I8)
|
98% |
337
5.63 IPS |
|
|
Pose Estimation (F32)
|
100% |
337
0.41 IPS |
|
|
Pose Estimation (F16)
|
100% |
339
0.41 IPS |
|
|
Pose Estimation (I8)
|
100% |
1609
1.95 IPS |
|
|
Object Detection (F32)
|
100% |
173
12.9 IPS |
|
|
Object Detection (F16)
|
100% |
177
13.2 IPS |
|
|
Object Detection (I8)
|
61% |
396
29.5 IPS |
|
|
Face Detection (F32)
|
100% |
386
4.59 IPS |
|
|
Face Detection (F16)
|
100% |
390
4.63 IPS |
|
|
Face Detection (I8)
|
86% |
945
11.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
372
2.89 IPS |
|
|
Depth Estimation (F16)
|
100% |
380
2.94 IPS |
|
|
Depth Estimation (I8)
|
95% |
919
7.13 IPS |
|
|
Style Transfer (F32)
|
100% |
404
0.53 IPS |
|
|
Style Transfer (F16)
|
100% |
522
0.69 IPS |
|
|
Style Transfer (I8)
|
98% |
1664
2.19 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
199
7.12 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
196
6.99 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
614
21.9 IPS |
|
|
Text Classification (F32)
|
100% |
200
287.8 IPS |
|
|
Text Classification (F16)
|
100% |
187
268.9 IPS |
|
|
Text Classification (I8)
|
92% |
261
375.5 IPS |
|
|
Machine Translation (F32)
|
100% |
373
6.87 IPS |
|
|
Machine Translation (F16)
|
100% |
376
6.92 IPS |
|
|
Machine Translation (I8)
|
64% |
169
3.10 IPS |
