Xiaomi 24129PN74C
Geekbench ML Score
1483
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 03:23 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% |
629
117.7 IPS |
|
|
Image Classification (F16)
|
100% |
1619
302.9 IPS |
|
|
Image Classification (I8)
|
100% |
1765
330.3 IPS |
|
|
Image Segmentation (F32)
|
100% |
1582
26.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
1360
22.7 IPS |
|
|
Image Segmentation (I8)
|
98% |
1467
24.5 IPS |
|
|
Pose Estimation (F32)
|
100% |
1426
1.73 IPS |
|
|
Pose Estimation (F16)
|
100% |
2421
2.93 IPS |
|
|
Pose Estimation (I8)
|
100% |
2431
2.94 IPS |
|
|
Object Detection (F32)
|
100% |
431
32.2 IPS |
|
|
Object Detection (F16)
|
100% |
472
35.2 IPS |
|
|
Object Detection (I8)
|
59% |
479
35.7 IPS |
|
|
Face Detection (F32)
|
100% |
2747
32.7 IPS |
|
|
Face Detection (F16)
|
97% |
3511
41.7 IPS |
|
|
Face Detection (I8)
|
86% |
4104
48.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
1445
11.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
4084
31.7 IPS |
|
|
Depth Estimation (I8)
|
94% |
4068
31.5 IPS |
|
|
Style Transfer (F32)
|
100% |
4994
6.57 IPS |
|
|
Style Transfer (F16)
|
100% |
10738
14.1 IPS |
|
|
Style Transfer (I8)
|
98% |
12352
16.2 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
631
22.5 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
1121
40.0 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1138
40.6 IPS |
|
|
Text Classification (F32)
|
100% |
427
614.0 IPS |
|
|
Text Classification (F16)
|
100% |
430
617.8 IPS |
|
|
Text Classification (I8)
|
92% |
666
957.0 IPS |
|
|
Machine Translation (F32)
|
100% |
776
14.3 IPS |
|
|
Machine Translation (F16)
|
100% |
784
14.4 IPS |
|
|
Machine Translation (I8)
|
64% |
794
14.6 IPS |
