Xiaomi 24129PN74C
Geekbench ML Score
527
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 09:53 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 | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
135
25.2 IPS |
|
|
Image Classification (F16)
|
100% |
134
25.0 IPS |
|
|
Image Classification (I8)
|
97% |
359
67.2 IPS |
|
|
Image Segmentation (F32)
|
100% |
173
2.88 IPS |
|
|
Image Segmentation (F16)
|
100% |
173
2.89 IPS |
|
|
Image Segmentation (I8)
|
98% |
365
6.09 IPS |
|
|
Pose Estimation (F32)
|
100% |
239
0.29 IPS |
|
|
Pose Estimation (F16)
|
100% |
239
0.29 IPS |
|
|
Pose Estimation (I8)
|
100% |
906
1.10 IPS |
|
|
Object Detection (F32)
|
100% |
269
20.1 IPS |
|
|
Object Detection (F16)
|
100% |
291
21.7 IPS |
|
|
Object Detection (I8)
|
61% |
813
60.7 IPS |
|
|
Face Detection (F32)
|
100% |
768
9.13 IPS |
|
|
Face Detection (F16)
|
100% |
768
9.13 IPS |
|
|
Face Detection (I8)
|
86% |
1697
20.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
652
5.06 IPS |
|
|
Depth Estimation (F16)
|
100% |
651
5.05 IPS |
|
|
Depth Estimation (I8)
|
95% |
1790
13.9 IPS |
|
|
Style Transfer (F32)
|
100% |
1160
1.53 IPS |
|
|
Style Transfer (F16)
|
100% |
1151
1.51 IPS |
|
|
Style Transfer (I8)
|
98% |
3064
4.03 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
351
12.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
351
12.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1249
44.6 IPS |
|
|
Text Classification (F32)
|
100% |
404
580.9 IPS |
|
|
Text Classification (F16)
|
100% |
403
579.6 IPS |
|
|
Text Classification (I8)
|
92% |
622
893.6 IPS |
|
|
Machine Translation (F32)
|
100% |
730
13.4 IPS |
|
|
Machine Translation (F16)
|
100% |
736
13.5 IPS |
|
|
Machine Translation (I8)
|
64% |
747
13.7 IPS |
