Xiaomi 24129PN74C
Geekbench ML Score
1244
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 21 2024 08:11 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 | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
636
119.1 IPS |
|
|
Image Classification (F16)
|
100% |
1551
290.2 IPS |
|
|
Image Classification (I8)
|
100% |
817
152.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
995
16.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1375
23.0 IPS |
|
|
Image Segmentation (I8)
|
98% |
2570
42.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
1437
1.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
2359
2.86 IPS |
|
|
Pose Estimation (I8)
|
100% |
2421
2.93 IPS |
|
|
Object Detection (F32)
|
100% |
437
32.6 IPS |
|
|
Object Detection (F16)
|
100% |
506
37.8 IPS |
|
|
Object Detection (I8)
|
59% |
511
38.1 IPS |
|
|
Face Detection (F32)
|
100% |
2804
33.3 IPS |
|
|
Face Detection (F16)
|
97% |
4775
56.8 IPS |
|
|
Face Detection (I8)
|
86% |
4223
50.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
1450
11.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
4114
31.9 IPS |
|
|
Depth Estimation (I8)
|
94% |
4084
31.7 IPS |
|
|
Style Transfer (F32)
|
100% |
4147
5.45 IPS |
|
|
Style Transfer (F16)
|
100% |
10356
13.6 IPS |
|
|
Style Transfer (I8)
|
98% |
7517
9.89 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
662
23.6 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1523
54.4 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1087
38.8 IPS |
|
|
Text Classification (F32)
|
100% |
187
268.8 IPS |
|
|
Text Classification (F16)
|
100% |
187
269.1 IPS |
|
|
Text Classification (I8)
|
92% |
310
445.3 IPS |
|
|
Machine Translation (F32)
|
100% |
357
6.57 IPS |
|
|
Machine Translation (F16)
|
100% |
361
6.64 IPS |
|
|
Machine Translation (I8)
|
64% |
399
7.34 IPS |
