Xiaomi 2312DRAABI
Geekbench ML Score
325
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | April 03 2024 02:17 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 2312DRAABI |
| Model ID | Xiaomi 2312DRAABI |
| Motherboard | gold |
| 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 @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.39 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
164
30.7 IPS |
|
|
Image Classification (F16)
|
100% |
168
31.4 IPS |
|
|
Image Classification (I8)
|
97% |
318
59.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
251
4.19 IPS |
|
|
Image Segmentation (F16)
|
100% |
254
4.25 IPS |
|
|
Image Segmentation (I8)
|
98% |
354
5.92 IPS |
|
|
Pose Estimation (F32)
|
100% |
359
0.43 IPS |
|
|
Pose Estimation (F16)
|
100% |
352
0.43 IPS |
|
|
Pose Estimation (I8)
|
100% |
1503
1.82 IPS |
|
|
Object Detection (F32)
|
100% |
179
13.4 IPS |
|
|
Object Detection (F16)
|
100% |
177
13.2 IPS |
|
|
Object Detection (I8)
|
61% |
333
24.9 IPS |
|
|
Face Detection (F32)
|
100% |
380
4.52 IPS |
|
|
Face Detection (F16)
|
100% |
387
4.61 IPS |
|
|
Face Detection (I8)
|
86% |
717
8.52 IPS |
|
|
Depth Estimation (F32)
|
100% |
355
2.75 IPS |
|
|
Depth Estimation (F16)
|
100% |
372
2.88 IPS |
|
|
Depth Estimation (I8)
|
95% |
765
5.93 IPS |
|
|
Style Transfer (F32)
|
100% |
595
0.78 IPS |
|
|
Style Transfer (F16)
|
100% |
586
0.77 IPS |
|
|
Style Transfer (I8)
|
98% |
1776
2.34 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
207
7.41 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
206
7.35 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
583
20.8 IPS |
|
|
Text Classification (F32)
|
100% |
182
261.7 IPS |
|
|
Text Classification (F16)
|
100% |
42
59.7 IPS |
|
|
Text Classification (I8)
|
92% |
151
217.2 IPS |
|
|
Machine Translation (F32)
|
100% |
365
6.72 IPS |
|
|
Machine Translation (F16)
|
100% |
373
6.87 IPS |
|
|
Machine Translation (I8)
|
64% |
244
4.50 IPS |
