Xiaomi 24129PN74C
Geekbench ML Score
1707
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 11:30 AM |
| 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 | 14.76 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
935
175.0 IPS |
|
|
Image Classification (F16)
|
100% |
989
185.0 IPS |
|
|
Image Classification (I8)
|
97% |
1398
261.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
1443
24.1 IPS |
|
|
Image Segmentation (F16)
|
100% |
1141
19.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1264
21.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
1951
2.36 IPS |
|
|
Pose Estimation (F16)
|
100% |
2029
2.46 IPS |
|
|
Pose Estimation (I8)
|
100% |
7961
9.64 IPS |
|
|
Object Detection (F32)
|
100% |
1035
77.3 IPS |
|
|
Object Detection (F16)
|
100% |
959
71.6 IPS |
|
|
Object Detection (I8)
|
61% |
1624
121.3 IPS |
|
|
Face Detection (F32)
|
100% |
2386
28.4 IPS |
|
|
Face Detection (F16)
|
100% |
2238
26.6 IPS |
|
|
Face Detection (I8)
|
86% |
3122
37.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
2183
16.9 IPS |
|
|
Depth Estimation (F16)
|
100% |
2163
16.8 IPS |
|
|
Depth Estimation (I8)
|
95% |
3767
29.2 IPS |
|
|
Style Transfer (F32)
|
100% |
3346
4.40 IPS |
|
|
Style Transfer (F16)
|
100% |
3295
4.33 IPS |
|
|
Style Transfer (I8)
|
98% |
7647
10.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1153
41.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1145
40.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
2909
103.9 IPS |
|
|
Text Classification (F32)
|
100% |
768
1.10 KIPS |
|
|
Text Classification (F16)
|
100% |
852
1.23 KIPS |
|
|
Text Classification (I8)
|
92% |
604
868.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1772
32.6 IPS |
|
|
Machine Translation (F16)
|
100% |
1567
28.8 IPS |
|
|
Machine Translation (I8)
|
64% |
647
11.9 IPS |
