Xiaomi 12T Pro
Geekbench ML Score
642
TensorFlow Lite GPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 26 2024 02:37 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 12T Pro |
| Model ID | Xiaomi 22081212UG |
| Motherboard | diting |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 4 Cores @ 2.02 GHz |
| Cluster 2 | 3 Cores @ 2.75 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 10.93 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
407
76.2 IPS |
|
|
Image Classification (F16)
|
100% |
494
92.5 IPS |
|
|
Image Classification (I8)
|
97% |
469
87.8 IPS |
|
|
Image Segmentation (F32)
|
100% |
689
11.5 IPS |
|
|
Image Segmentation (F16)
|
100% |
917
15.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
856
14.3 IPS |
|
|
Pose Estimation (F32)
|
100% |
610
0.74 IPS |
|
|
Pose Estimation (F16)
|
100% |
1122
1.36 IPS |
|
|
Pose Estimation (I8)
|
100% |
1125
1.36 IPS |
|
|
Object Detection (F32)
|
100% |
244
18.2 IPS |
|
|
Object Detection (F16)
|
100% |
243
18.2 IPS |
|
|
Object Detection (I8)
|
62% |
242
18.1 IPS |
|
|
Face Detection (F32)
|
100% |
1314
15.6 IPS |
|
|
Face Detection (F16)
|
97% |
1606
19.1 IPS |
|
|
Face Detection (I8)
|
87% |
1393
16.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
942
7.31 IPS |
|
|
Depth Estimation (F16)
|
100% |
1615
12.5 IPS |
|
|
Depth Estimation (I8)
|
95% |
1593
12.4 IPS |
|
|
Style Transfer (F32)
|
100% |
2072
2.73 IPS |
|
|
Style Transfer (F16)
|
100% |
4439
5.84 IPS |
|
|
Style Transfer (I8)
|
98% |
4551
5.99 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
300
10.7 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
361
12.9 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
358
12.8 IPS |
|
|
Text Classification (F32)
|
100% |
164
235.6 IPS |
|
|
Text Classification (F16)
|
100% |
165
236.6 IPS |
|
|
Text Classification (I8)
|
92% |
297
427.0 IPS |
|
|
Machine Translation (F32)
|
100% |
297
5.47 IPS |
|
|
Machine Translation (F16)
|
100% |
299
5.49 IPS |
|
|
Machine Translation (I8)
|
64% |
364
6.71 IPS |
