Xiaomi 24129PN74C
Geekbench ML Score
1752
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 03:17 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% |
988
184.9 IPS |
|
|
Image Classification (F16)
|
100% |
1053
197.1 IPS |
|
|
Image Classification (I8)
|
97% |
1377
257.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1387
23.2 IPS |
|
|
Image Segmentation (F16)
|
100% |
1233
20.6 IPS |
|
|
Image Segmentation (I8)
|
98% |
1307
21.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
2014
2.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
1992
2.41 IPS |
|
|
Pose Estimation (I8)
|
100% |
7829
9.48 IPS |
|
|
Object Detection (F32)
|
100% |
1032
77.0 IPS |
|
|
Object Detection (F16)
|
100% |
1034
77.2 IPS |
|
|
Object Detection (I8)
|
61% |
1549
115.6 IPS |
|
|
Face Detection (F32)
|
100% |
2282
27.1 IPS |
|
|
Face Detection (F16)
|
100% |
2329
27.7 IPS |
|
|
Face Detection (I8)
|
86% |
3390
40.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
2150
16.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
2109
16.4 IPS |
|
|
Depth Estimation (I8)
|
95% |
3524
27.3 IPS |
|
|
Style Transfer (F32)
|
100% |
3306
4.35 IPS |
|
|
Style Transfer (F16)
|
100% |
3290
4.33 IPS |
|
|
Style Transfer (I8)
|
98% |
8280
10.9 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1185
42.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1166
41.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3334
119.1 IPS |
|
|
Text Classification (F32)
|
100% |
890
1.28 KIPS |
|
|
Text Classification (F16)
|
100% |
612
879.3 IPS |
|
|
Text Classification (I8)
|
92% |
600
862.9 IPS |
|
|
Machine Translation (F32)
|
100% |
1904
35.0 IPS |
|
|
Machine Translation (F16)
|
100% |
1941
35.7 IPS |
|
|
Machine Translation (I8)
|
64% |
856
15.8 IPS |
