Xiaomi 23013RK75C
Geekbench ML Score
934
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 01:18 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
576
107.8 IPS |
|
|
Image Classification (F16)
|
100% |
915
171.2 IPS |
|
|
Image Classification (I8)
|
97% |
776
145.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
996
16.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1544
25.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1403
23.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
734
0.89 IPS |
|
|
Pose Estimation (F16)
|
100% |
1310
1.59 IPS |
|
|
Pose Estimation (I8)
|
100% |
1320
1.60 IPS |
|
|
Object Detection (F32)
|
100% |
340
25.4 IPS |
|
|
Object Detection (F16)
|
100% |
521
38.9 IPS |
|
|
Object Detection (I8)
|
62% |
528
39.4 IPS |
|
|
Face Detection (F32)
|
100% |
1743
20.7 IPS |
|
|
Face Detection (F16)
|
97% |
2702
32.1 IPS |
|
|
Face Detection (I8)
|
87% |
2394
28.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1139
8.83 IPS |
|
|
Depth Estimation (F16)
|
100% |
2691
20.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
2651
20.6 IPS |
|
|
Style Transfer (F32)
|
100% |
2962
3.90 IPS |
|
|
Style Transfer (F16)
|
100% |
6523
8.58 IPS |
|
|
Style Transfer (I8)
|
98% |
6759
8.89 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
402
14.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
515
18.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
516
18.4 IPS |
|
|
Text Classification (F32)
|
100% |
202
289.9 IPS |
|
|
Text Classification (F16)
|
100% |
202
290.6 IPS |
|
|
Text Classification (I8)
|
92% |
378
543.4 IPS |
|
|
Machine Translation (F32)
|
100% |
374
6.89 IPS |
|
|
Machine Translation (F16)
|
100% |
376
6.92 IPS |
|
|
Machine Translation (I8)
|
64% |
450
8.28 IPS |
