Xiaomi 24129PN74C
Geekbench ML Score
1355
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 17 2024 01:05 AM |
| 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% |
856
160.1 IPS |
|
|
Image Classification (F16)
|
100% |
856
160.1 IPS |
|
|
Image Classification (I8)
|
97% |
1081
202.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1086
18.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1078
18.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
1033
17.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
1660
2.01 IPS |
|
|
Pose Estimation (F16)
|
100% |
1625
1.97 IPS |
|
|
Pose Estimation (I8)
|
100% |
6217
7.53 IPS |
|
|
Object Detection (F32)
|
100% |
808
60.3 IPS |
|
|
Object Detection (F16)
|
100% |
794
59.2 IPS |
|
|
Object Detection (I8)
|
61% |
1285
95.9 IPS |
|
|
Face Detection (F32)
|
100% |
1958
23.3 IPS |
|
|
Face Detection (F16)
|
100% |
1934
23.0 IPS |
|
|
Face Detection (I8)
|
86% |
2086
24.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1733
13.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
1739
13.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
2477
19.2 IPS |
|
|
Style Transfer (F32)
|
100% |
2824
3.71 IPS |
|
|
Style Transfer (F16)
|
100% |
2564
3.37 IPS |
|
|
Style Transfer (I8)
|
98% |
5768
7.59 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
811
29.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
805
28.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2265
80.9 IPS |
|
|
Text Classification (F32)
|
100% |
657
943.7 IPS |
|
|
Text Classification (F16)
|
100% |
630
904.9 IPS |
|
|
Text Classification (I8)
|
92% |
432
620.2 IPS |
|
|
Machine Translation (F32)
|
100% |
1400
25.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1412
26.0 IPS |
|
|
Machine Translation (I8)
|
64% |
543
9.98 IPS |
