Xiaomi 24129PN74C
Geekbench ML Score
1784
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 07:15 PM |
| Views | 1 |
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 | 10.86 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1048
196.2 IPS |
|
|
Image Classification (F16)
|
100% |
1075
201.1 IPS |
|
|
Image Classification (I8)
|
97% |
1310
245.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1392
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1330
22.2 IPS |
|
|
Image Segmentation (I8)
|
98% |
1366
22.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
2037
2.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
2035
2.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
7691
9.31 IPS |
|
|
Object Detection (F32)
|
100% |
1037
77.4 IPS |
|
|
Object Detection (F16)
|
100% |
1018
76.0 IPS |
|
|
Object Detection (I8)
|
61% |
1787
133.4 IPS |
|
|
Face Detection (F32)
|
100% |
2344
27.9 IPS |
|
|
Face Detection (F16)
|
100% |
2390
28.4 IPS |
|
|
Face Detection (I8)
|
86% |
3263
38.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
2145
16.6 IPS |
|
|
Depth Estimation (F16)
|
100% |
2086
16.2 IPS |
|
|
Depth Estimation (I8)
|
95% |
3720
28.9 IPS |
|
|
Style Transfer (F32)
|
100% |
3333
4.38 IPS |
|
|
Style Transfer (F16)
|
100% |
3315
4.36 IPS |
|
|
Style Transfer (I8)
|
98% |
8646
11.4 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1146
40.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1175
42.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3201
114.3 IPS |
|
|
Text Classification (F32)
|
100% |
876
1.26 KIPS |
|
|
Text Classification (F16)
|
100% |
869
1.25 KIPS |
|
|
Text Classification (I8)
|
92% |
548
787.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1943
35.8 IPS |
|
|
Machine Translation (F16)
|
100% |
1951
35.9 IPS |
|
|
Machine Translation (I8)
|
64% |
789
14.5 IPS |
