Xiaomi 23113RKC6C
Geekbench ML Score
471
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 27 2025 04:17 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 23113RKC6C |
| Model ID | Xiaomi 23113RKC6C |
| Motherboard | kalama |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
215
40.2 IPS |
|
|
Image Classification (F16)
|
100% |
218
40.8 IPS |
|
|
Image Classification (I8)
|
97% |
532
99.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
283
4.72 IPS |
|
|
Image Segmentation (F16)
|
100% |
268
4.47 IPS |
|
|
Image Segmentation (I8)
|
98% |
509
8.51 IPS |
|
|
Pose Estimation (F32)
|
100% |
384
0.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
384
0.47 IPS |
|
|
Pose Estimation (I8)
|
100% |
1439
1.74 IPS |
|
|
Object Detection (F32)
|
100% |
225
16.8 IPS |
|
|
Object Detection (F16)
|
100% |
225
16.8 IPS |
|
|
Object Detection (I8)
|
61% |
540
40.3 IPS |
|
|
Face Detection (F32)
|
100% |
543
6.45 IPS |
|
|
Face Detection (F16)
|
100% |
539
6.41 IPS |
|
|
Face Detection (I8)
|
86% |
1088
12.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
472
3.66 IPS |
|
|
Depth Estimation (F16)
|
100% |
474
3.68 IPS |
|
|
Depth Estimation (I8)
|
95% |
1269
9.84 IPS |
|
|
Style Transfer (F32)
|
100% |
789
1.04 IPS |
|
|
Style Transfer (F16)
|
100% |
780
1.03 IPS |
|
|
Style Transfer (I8)
|
98% |
1811
2.38 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
260
9.27 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
261
9.31 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
896
32.0 IPS |
|
|
Text Classification (F32)
|
100% |
297
427.3 IPS |
|
|
Text Classification (F16)
|
100% |
293
421.5 IPS |
|
|
Text Classification (I8)
|
92% |
423
607.8 IPS |
|
|
Machine Translation (F32)
|
100% |
507
9.32 IPS |
|
|
Machine Translation (F16)
|
100% |
509
9.37 IPS |
|
|
Machine Translation (I8)
|
64% |
497
9.15 IPS |
