Xiaomi 23113RKC6C
Geekbench ML Score
852
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | June 27 2025 04:23 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
567
106.0 IPS |
|
|
Image Classification (F16)
|
100% |
948
177.3 IPS |
|
|
Image Classification (I8)
|
99% |
902
168.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
876
14.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
981
16.4 IPS |
|
|
Image Segmentation (I8)
|
98% |
911
15.2 IPS |
|
|
Pose Estimation (F32)
|
100% |
749
0.91 IPS |
|
|
Pose Estimation (F16)
|
100% |
1272
1.54 IPS |
|
|
Pose Estimation (I8)
|
100% |
1237
1.50 IPS |
|
|
Object Detection (F32)
|
100% |
225
16.8 IPS |
|
|
Object Detection (F16)
|
100% |
256
19.1 IPS |
|
|
Object Detection (I8)
|
62% |
256
19.1 IPS |
|
|
Face Detection (F32)
|
100% |
2000
23.8 IPS |
|
|
Face Detection (F16)
|
97% |
2684
31.9 IPS |
|
|
Face Detection (I8)
|
86% |
2743
32.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
1255
9.73 IPS |
|
|
Depth Estimation (F16)
|
100% |
2206
17.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
2433
18.9 IPS |
|
|
Style Transfer (F32)
|
100% |
2792
3.67 IPS |
|
|
Style Transfer (F16)
|
100% |
7243
9.53 IPS |
|
|
Style Transfer (I8)
|
98% |
5905
7.77 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
380
13.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
245
8.76 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
238
8.51 IPS |
|
|
Text Classification (F32)
|
100% |
294
422.2 IPS |
|
|
Text Classification (F16)
|
100% |
293
420.8 IPS |
|
|
Text Classification (I8)
|
92% |
424
609.2 IPS |
|
|
Machine Translation (F32)
|
100% |
515
9.47 IPS |
|
|
Machine Translation (F16)
|
100% |
516
9.50 IPS |
|
|
Machine Translation (I8)
|
64% |
502
9.24 IPS |
