Xiaomi 24129PN74C
Geekbench ML Score
1643
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 19 2024 08:34 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% |
937
175.4 IPS |
|
|
Image Classification (F16)
|
100% |
869
162.6 IPS |
|
|
Image Classification (I8)
|
97% |
1110
207.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1306
21.8 IPS |
|
|
Image Segmentation (F16)
|
100% |
1247
20.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1179
19.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1878
2.27 IPS |
|
|
Pose Estimation (F16)
|
100% |
1938
2.35 IPS |
|
|
Pose Estimation (I8)
|
100% |
7295
8.83 IPS |
|
|
Object Detection (F32)
|
100% |
799
59.7 IPS |
|
|
Object Detection (F16)
|
100% |
1005
75.0 IPS |
|
|
Object Detection (I8)
|
61% |
1690
126.2 IPS |
|
|
Face Detection (F32)
|
100% |
2231
26.5 IPS |
|
|
Face Detection (F16)
|
100% |
2163
25.7 IPS |
|
|
Face Detection (I8)
|
86% |
3158
37.5 IPS |
|
|
Depth Estimation (F32)
|
100% |
1911
14.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2055
15.9 IPS |
|
|
Depth Estimation (I8)
|
95% |
3322
25.8 IPS |
|
|
Style Transfer (F32)
|
100% |
3216
4.23 IPS |
|
|
Style Transfer (F16)
|
100% |
3180
4.18 IPS |
|
|
Style Transfer (I8)
|
98% |
7586
9.98 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1059
37.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1111
39.7 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3004
107.3 IPS |
|
|
Text Classification (F32)
|
100% |
854
1.23 KIPS |
|
|
Text Classification (F16)
|
100% |
859
1.23 KIPS |
|
|
Text Classification (I8)
|
92% |
593
852.5 IPS |
|
|
Machine Translation (F32)
|
100% |
1723
31.7 IPS |
|
|
Machine Translation (F16)
|
100% |
1714
31.5 IPS |
|
|
Machine Translation (I8)
|
64% |
674
12.4 IPS |
