Xiaomi 2312FPCA6G
Geekbench ML Score
348
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | February 23 2024 01:20 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 2312FPCA6G |
| Model ID | Xiaomi 2312FPCA6G |
| Motherboard | emerald |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 6 Cores @ 2.00 GHz |
| Cluster 2 | 2 Cores @ 2.20 GHz |
| Memory Information | |
|---|---|
| Size | 11.39 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
169
31.6 IPS |
|
|
Image Classification (F16)
|
100% |
155
29.0 IPS |
|
|
Image Classification (I8)
|
97% |
260
48.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
234
3.90 IPS |
|
|
Image Segmentation (F16)
|
100% |
238
3.98 IPS |
|
|
Image Segmentation (I8)
|
98% |
343
5.73 IPS |
|
|
Pose Estimation (F32)
|
100% |
362
0.44 IPS |
|
|
Pose Estimation (F16)
|
100% |
355
0.43 IPS |
|
|
Pose Estimation (I8)
|
100% |
1533
1.86 IPS |
|
|
Object Detection (F32)
|
100% |
185
13.8 IPS |
|
|
Object Detection (F16)
|
100% |
204
15.2 IPS |
|
|
Object Detection (I8)
|
61% |
327
24.4 IPS |
|
|
Face Detection (F32)
|
100% |
393
4.67 IPS |
|
|
Face Detection (F16)
|
100% |
396
4.71 IPS |
|
|
Face Detection (I8)
|
86% |
744
8.85 IPS |
|
|
Depth Estimation (F32)
|
100% |
384
2.98 IPS |
|
|
Depth Estimation (F16)
|
100% |
391
3.03 IPS |
|
|
Depth Estimation (I8)
|
95% |
762
5.91 IPS |
|
|
Style Transfer (F32)
|
100% |
628
0.83 IPS |
|
|
Style Transfer (F16)
|
100% |
608
0.80 IPS |
|
|
Style Transfer (I8)
|
98% |
1784
2.35 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
228
8.14 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
206
7.34 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
636
22.7 IPS |
|
|
Text Classification (F32)
|
100% |
187
268.2 IPS |
|
|
Text Classification (F16)
|
100% |
189
271.3 IPS |
|
|
Text Classification (I8)
|
92% |
155
223.1 IPS |
|
|
Machine Translation (F32)
|
100% |
421
7.74 IPS |
|
|
Machine Translation (F16)
|
100% |
396
7.30 IPS |
|
|
Machine Translation (I8)
|
64% |
237
4.36 IPS |
