Xiaomi 24129PN74C
Geekbench ML Score
1759
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 07:38 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% |
1037
194.1 IPS |
|
|
Image Classification (F16)
|
100% |
844
158.0 IPS |
|
|
Image Classification (I8)
|
97% |
1263
236.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1397
23.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1384
23.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1371
22.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
2037
2.47 IPS |
|
|
Pose Estimation (F16)
|
100% |
2021
2.45 IPS |
|
|
Pose Estimation (I8)
|
100% |
7625
9.23 IPS |
|
|
Object Detection (F32)
|
100% |
1021
76.2 IPS |
|
|
Object Detection (F16)
|
100% |
994
74.2 IPS |
|
|
Object Detection (I8)
|
61% |
1668
124.6 IPS |
|
|
Face Detection (F32)
|
100% |
2354
28.0 IPS |
|
|
Face Detection (F16)
|
100% |
2353
28.0 IPS |
|
|
Face Detection (I8)
|
86% |
3438
40.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
2123
16.5 IPS |
|
|
Depth Estimation (F16)
|
100% |
2079
16.1 IPS |
|
|
Depth Estimation (I8)
|
95% |
3503
27.2 IPS |
|
|
Style Transfer (F32)
|
100% |
3273
4.31 IPS |
|
|
Style Transfer (F16)
|
100% |
3329
4.38 IPS |
|
|
Style Transfer (I8)
|
98% |
8521
11.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1156
41.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1149
41.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3225
115.2 IPS |
|
|
Text Classification (F32)
|
100% |
857
1.23 KIPS |
|
|
Text Classification (F16)
|
100% |
829
1.19 KIPS |
|
|
Text Classification (I8)
|
92% |
562
807.4 IPS |
|
|
Machine Translation (F32)
|
100% |
1975
36.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1967
36.2 IPS |
|
|
Machine Translation (I8)
|
64% |
807
14.8 IPS |
