Xiaomi 23113RKC6C
Geekbench ML Score
909
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 27 2025 04:20 AM |
| Views | 3 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
469
87.7 IPS |
|
|
Image Classification (F16)
|
100% |
466
87.2 IPS |
|
|
Image Classification (I8)
|
97% |
738
138.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
645
10.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
642
10.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
681
11.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
1194
1.45 IPS |
|
|
Pose Estimation (F16)
|
100% |
1151
1.39 IPS |
|
|
Pose Estimation (I8)
|
100% |
4183
5.07 IPS |
|
|
Object Detection (F32)
|
100% |
487
36.3 IPS |
|
|
Object Detection (F16)
|
100% |
475
35.5 IPS |
|
|
Object Detection (I8)
|
61% |
792
59.1 IPS |
|
|
Face Detection (F32)
|
100% |
1072
12.7 IPS |
|
|
Face Detection (F16)
|
100% |
1084
12.9 IPS |
|
|
Face Detection (I8)
|
86% |
1606
19.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
1082
8.39 IPS |
|
|
Depth Estimation (F16)
|
100% |
1076
8.34 IPS |
|
|
Depth Estimation (I8)
|
95% |
1895
14.7 IPS |
|
|
Style Transfer (F32)
|
100% |
1962
2.58 IPS |
|
|
Style Transfer (F16)
|
100% |
1941
2.55 IPS |
|
|
Style Transfer (I8)
|
98% |
4039
5.31 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
664
23.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
652
23.3 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1656
59.1 IPS |
|
|
Text Classification (F32)
|
100% |
493
708.2 IPS |
|
|
Text Classification (F16)
|
100% |
465
667.8 IPS |
|
|
Text Classification (I8)
|
92% |
332
477.4 IPS |
|
|
Machine Translation (F32)
|
100% |
973
17.9 IPS |
|
|
Machine Translation (F16)
|
100% |
978
18.0 IPS |
|
|
Machine Translation (I8)
|
64% |
371
6.83 IPS |
