Xiaomi 23013RK75C
Geekbench ML Score
358
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 01:24 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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
150
28.1 IPS |
|
|
Image Classification (F16)
|
100% |
152
28.4 IPS |
|
|
Image Classification (I8)
|
97% |
415
77.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
193
3.22 IPS |
|
|
Image Segmentation (F16)
|
100% |
195
3.26 IPS |
|
|
Image Segmentation (I8)
|
98% |
442
7.38 IPS |
|
|
Pose Estimation (F32)
|
100% |
276
0.33 IPS |
|
|
Pose Estimation (F16)
|
100% |
266
0.32 IPS |
|
|
Pose Estimation (I8)
|
100% |
1040
1.26 IPS |
|
|
Object Detection (F32)
|
100% |
155
11.6 IPS |
|
|
Object Detection (F16)
|
100% |
157
11.7 IPS |
|
|
Object Detection (I8)
|
61% |
501
37.4 IPS |
|
|
Face Detection (F32)
|
100% |
422
5.02 IPS |
|
|
Face Detection (F16)
|
100% |
436
5.19 IPS |
|
|
Face Detection (I8)
|
86% |
1144
13.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
368
2.86 IPS |
|
|
Depth Estimation (F16)
|
100% |
344
2.67 IPS |
|
|
Depth Estimation (I8)
|
95% |
1009
7.83 IPS |
|
|
Style Transfer (F32)
|
100% |
591
0.78 IPS |
|
|
Style Transfer (F16)
|
100% |
594
0.78 IPS |
|
|
Style Transfer (I8)
|
98% |
1548
2.04 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
185
6.61 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
174
6.21 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
629
22.5 IPS |
|
|
Text Classification (F32)
|
100% |
203
291.0 IPS |
|
|
Text Classification (F16)
|
100% |
202
290.4 IPS |
|
|
Text Classification (I8)
|
92% |
365
524.1 IPS |
|
|
Machine Translation (F32)
|
100% |
380
6.99 IPS |
|
|
Machine Translation (F16)
|
100% |
393
7.23 IPS |
|
|
Machine Translation (I8)
|
64% |
454
8.35 IPS |
