Xiaomi 24129PN74C
Geekbench ML Score
1278
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 04:43 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24129PN74C |
| Model ID | Xiaomi 24129PN74C |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
643
120.4 IPS |
|
|
Image Classification (F16)
|
100% |
846
158.3 IPS |
|
|
Image Classification (I8)
|
97% |
844
157.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
1066
17.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1020
17.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
978
16.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1637
1.98 IPS |
|
|
Pose Estimation (F16)
|
100% |
1485
1.80 IPS |
|
|
Pose Estimation (I8)
|
100% |
5462
6.61 IPS |
|
|
Object Detection (F32)
|
100% |
811
60.5 IPS |
|
|
Object Detection (F16)
|
100% |
799
59.7 IPS |
|
|
Object Detection (I8)
|
61% |
1276
95.3 IPS |
|
|
Face Detection (F32)
|
100% |
1774
21.1 IPS |
|
|
Face Detection (F16)
|
100% |
1694
20.1 IPS |
|
|
Face Detection (I8)
|
86% |
1967
23.4 IPS |
|
|
Depth Estimation (F32)
|
100% |
1680
13.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
1587
12.3 IPS |
|
|
Depth Estimation (I8)
|
95% |
2330
18.1 IPS |
|
|
Style Transfer (F32)
|
100% |
2573
3.38 IPS |
|
|
Style Transfer (F16)
|
100% |
2578
3.39 IPS |
|
|
Style Transfer (I8)
|
98% |
5920
7.79 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
771
27.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
789
28.2 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2256
80.6 IPS |
|
|
Text Classification (F32)
|
100% |
664
954.0 IPS |
|
|
Text Classification (F16)
|
100% |
591
849.9 IPS |
|
|
Text Classification (I8)
|
92% |
435
624.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1355
24.9 IPS |
|
|
Machine Translation (F16)
|
100% |
1267
23.3 IPS |
|
|
Machine Translation (I8)
|
64% |
517
9.51 IPS |
