Xiaomi 22021211RC
Geekbench ML Score
527
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | May 18 2024 09:55 AM |
| Views | 3 |
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 | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
246
46.1 IPS |
|
|
Image Classification (F16)
|
100% |
236
44.2 IPS |
|
|
Image Classification (I8)
|
97% |
545
102.0 IPS |
|
|
Image Segmentation (F32)
|
100% |
345
5.75 IPS |
|
|
Image Segmentation (F16)
|
100% |
348
5.82 IPS |
|
|
Image Segmentation (I8)
|
98% |
444
7.42 IPS |
|
|
Pose Estimation (F32)
|
100% |
541
0.65 IPS |
|
|
Pose Estimation (F16)
|
100% |
538
0.65 IPS |
|
|
Pose Estimation (I8)
|
100% |
2365
2.86 IPS |
|
|
Object Detection (F32)
|
100% |
280
20.9 IPS |
|
|
Object Detection (F16)
|
100% |
274
20.5 IPS |
|
|
Object Detection (I8)
|
61% |
723
53.9 IPS |
|
|
Face Detection (F32)
|
100% |
584
6.94 IPS |
|
|
Face Detection (F16)
|
100% |
582
6.92 IPS |
|
|
Face Detection (I8)
|
86% |
1269
15.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
528
4.10 IPS |
|
|
Depth Estimation (F16)
|
100% |
520
4.04 IPS |
|
|
Depth Estimation (I8)
|
95% |
1151
8.92 IPS |
|
|
Style Transfer (F32)
|
100% |
911
1.20 IPS |
|
|
Style Transfer (F16)
|
100% |
900
1.18 IPS |
|
|
Style Transfer (I8)
|
98% |
2202
2.90 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
316
11.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
310
11.1 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1042
37.2 IPS |
|
|
Text Classification (F32)
|
100% |
292
420.0 IPS |
|
|
Text Classification (F16)
|
100% |
305
439.0 IPS |
|
|
Text Classification (I8)
|
92% |
244
350.6 IPS |
|
|
Machine Translation (F32)
|
100% |
616
11.3 IPS |
|
|
Machine Translation (F16)
|
100% |
627
11.5 IPS |
|
|
Machine Translation (I8)
|
64% |
336
6.18 IPS |
