Xiaomi 24129PN74C
Geekbench ML Score
1819
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 04:17 AM |
| Views | 2 |
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% |
1013
189.6 IPS |
|
|
Image Classification (F16)
|
100% |
1083
202.6 IPS |
|
|
Image Classification (I8)
|
97% |
1344
251.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
1377
23.0 IPS |
|
|
Image Segmentation (F16)
|
100% |
1386
23.1 IPS |
|
|
Image Segmentation (I8)
|
98% |
1385
23.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
2059
2.49 IPS |
|
|
Pose Estimation (F16)
|
100% |
2037
2.47 IPS |
|
|
Pose Estimation (I8)
|
100% |
7730
9.36 IPS |
|
|
Object Detection (F32)
|
100% |
1037
77.4 IPS |
|
|
Object Detection (F16)
|
100% |
990
73.9 IPS |
|
|
Object Detection (I8)
|
61% |
1779
132.8 IPS |
|
|
Face Detection (F32)
|
100% |
2390
28.4 IPS |
|
|
Face Detection (F16)
|
100% |
2291
27.2 IPS |
|
|
Face Detection (I8)
|
86% |
3585
42.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
2166
16.8 IPS |
|
|
Depth Estimation (F16)
|
100% |
2155
16.7 IPS |
|
|
Depth Estimation (I8)
|
95% |
3940
30.6 IPS |
|
|
Style Transfer (F32)
|
100% |
3374
4.44 IPS |
|
|
Style Transfer (F16)
|
100% |
3385
4.45 IPS |
|
|
Style Transfer (I8)
|
98% |
8913
11.7 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
1155
41.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1228
43.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
3476
124.1 IPS |
|
|
Text Classification (F32)
|
100% |
867
1.25 KIPS |
|
|
Text Classification (F16)
|
100% |
889
1.28 KIPS |
|
|
Text Classification (I8)
|
92% |
566
813.1 IPS |
|
|
Machine Translation (F32)
|
100% |
1971
36.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1990
36.6 IPS |
|
|
Machine Translation (I8)
|
64% |
876
16.1 IPS |
