Xiaomi Mi 10T 5G
Geekbench ML Score
483
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 27 2024 01:05 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Mi 10T 5G |
| Model ID | Xiaomi M2007J3SY |
| Motherboard | apollo |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 2.84 GHz |
| Memory Information | |
|---|---|
| Size | 7.43 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
259
48.5 IPS |
|
|
Image Classification (F16)
|
100% |
259
48.5 IPS |
|
|
Image Classification (I8)
|
97% |
563
105.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
371
6.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
369
6.16 IPS |
|
|
Image Segmentation (I8)
|
98% |
393
6.57 IPS |
|
|
Pose Estimation (F32)
|
100% |
546
0.66 IPS |
|
|
Pose Estimation (F16)
|
100% |
539
0.65 IPS |
|
|
Pose Estimation (I8)
|
100% |
2206
2.67 IPS |
|
|
Object Detection (F32)
|
100% |
273
20.4 IPS |
|
|
Object Detection (F16)
|
100% |
268
20.0 IPS |
|
|
Object Detection (I8)
|
61% |
734
54.8 IPS |
|
|
Face Detection (F32)
|
100% |
593
7.05 IPS |
|
|
Face Detection (F16)
|
100% |
589
7.00 IPS |
|
|
Face Detection (I8)
|
86% |
1246
14.8 IPS |
|
|
Depth Estimation (F32)
|
100% |
502
3.90 IPS |
|
|
Depth Estimation (F16)
|
100% |
492
3.82 IPS |
|
|
Depth Estimation (I8)
|
95% |
991
7.68 IPS |
|
|
Style Transfer (F32)
|
100% |
833
1.10 IPS |
|
|
Style Transfer (F16)
|
100% |
822
1.08 IPS |
|
|
Style Transfer (I8)
|
98% |
1951
2.57 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
289
10.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
298
10.6 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1124
40.1 IPS |
|
|
Text Classification (F32)
|
100% |
76
109.8 IPS |
|
|
Text Classification (F16)
|
100% |
280
402.9 IPS |
|
|
Text Classification (I8)
|
92% |
236
339.5 IPS |
|
|
Machine Translation (F32)
|
100% |
578
10.6 IPS |
|
|
Machine Translation (F16)
|
100% |
594
10.9 IPS |
|
|
Machine Translation (I8)
|
64% |
201
3.69 IPS |
