Xiaomi 23013RK75C
Geekbench ML Score
647
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 03:04 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 23013RK75C |
| Model ID | Xiaomi 23013RK75C |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 7.04 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
359
67.2 IPS |
|
|
Image Classification (F16)
|
100% |
364
68.2 IPS |
|
|
Image Classification (I8)
|
97% |
590
110.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
484
8.08 IPS |
|
|
Image Segmentation (F16)
|
100% |
503
8.40 IPS |
|
|
Image Segmentation (I8)
|
98% |
529
8.84 IPS |
|
|
Pose Estimation (F32)
|
100% |
937
1.13 IPS |
|
|
Pose Estimation (F16)
|
100% |
855
1.04 IPS |
|
|
Pose Estimation (I8)
|
100% |
3182
3.85 IPS |
|
|
Object Detection (F32)
|
100% |
351
26.2 IPS |
|
|
Object Detection (F16)
|
100% |
350
26.1 IPS |
|
|
Object Detection (I8)
|
61% |
424
31.6 IPS |
|
|
Face Detection (F32)
|
100% |
608
7.23 IPS |
|
|
Face Detection (F16)
|
100% |
559
6.65 IPS |
|
|
Face Detection (I8)
|
86% |
1430
17.0 IPS |
|
|
Depth Estimation (F32)
|
100% |
870
6.75 IPS |
|
|
Depth Estimation (F16)
|
100% |
835
6.48 IPS |
|
|
Depth Estimation (I8)
|
95% |
1641
12.7 IPS |
|
|
Style Transfer (F32)
|
100% |
381
0.50 IPS |
|
|
Style Transfer (F16)
|
100% |
1051
1.38 IPS |
|
|
Style Transfer (I8)
|
98% |
3159
4.16 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
495
17.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
491
17.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1324
47.3 IPS |
|
|
Text Classification (F32)
|
100% |
382
548.7 IPS |
|
|
Text Classification (F16)
|
100% |
376
540.6 IPS |
|
|
Text Classification (I8)
|
92% |
298
428.3 IPS |
|
|
Machine Translation (F32)
|
100% |
761
14.0 IPS |
|
|
Machine Translation (F16)
|
100% |
755
13.9 IPS |
|
|
Machine Translation (I8)
|
64% |
288
5.31 IPS |
