Xiaomi 22021211RC
Geekbench ML Score
820
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 18 2024 10:00 AM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 22021211RC |
| Model ID | Xiaomi 22021211RC |
| Motherboard | munch |
| 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 @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 11.33 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
493
92.3 IPS |
|
|
Image Classification (F16)
|
100% |
810
151.5 IPS |
|
|
Image Classification (I8)
|
97% |
1528
286.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
655
10.9 IPS |
|
|
Image Segmentation (F16)
|
100% |
887
14.8 IPS |
|
|
Image Segmentation (I8)
|
98% |
1357
22.7 IPS |
|
|
Pose Estimation (F32)
|
100% |
1554
1.88 IPS |
|
|
Pose Estimation (F16)
|
100% |
5927
7.18 IPS |
|
|
Pose Estimation (I8)
|
100% |
11535
14.0 IPS |
|
|
Object Detection (F32)
|
100% |
481
35.9 IPS |
|
|
Object Detection (F16)
|
99% |
744
55.5 IPS |
|
|
Object Detection (I8)
|
59% |
1559
116.4 IPS |
|
|
Face Detection (F32)
|
100% |
1329
15.8 IPS |
|
|
Face Detection (F16)
|
97% |
1824
21.7 IPS |
|
|
Face Detection (I8)
|
88% |
4098
48.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
443
3.44 IPS |
|
|
Depth Estimation (F16)
|
100% |
479
3.72 IPS |
|
|
Depth Estimation (I8)
|
82% |
8365
64.9 IPS |
|
|
Style Transfer (F32)
|
100% |
627
0.83 IPS |
|
|
Style Transfer (F16)
|
100% |
674
0.89 IPS |
|
|
Style Transfer (I8)
|
98% |
3190
4.20 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
871
31.1 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2422
86.5 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
6180
220.7 IPS |
|
|
Text Classification (F32)
|
64% |
10
14.2 IPS |
|
|
Text Classification (F16)
|
64% |
10
13.9 IPS |
|
|
Text Classification (I8)
|
92% |
169
243.0 IPS |
|
|
Machine Translation (F32)
|
100% |
222
4.09 IPS |
|
|
Machine Translation (F16)
|
100% |
270
4.98 IPS |
|
|
Machine Translation (I8)
|
58% |
300
5.51 IPS |
