Xiaomi 220333QNY
Geekbench ML Score
218
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 19 2024 12:35 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 220333QNY |
| Model ID | Xiaomi 220333QNY |
| Motherboard | rain |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 3.56 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
112
21.0 IPS |
|
|
Image Classification (F16)
|
100% |
115
21.5 IPS |
|
|
Image Classification (I8)
|
97% |
180
33.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
177
2.96 IPS |
|
|
Image Segmentation (F16)
|
100% |
177
2.95 IPS |
|
|
Image Segmentation (I8)
|
98% |
216
3.61 IPS |
|
|
Pose Estimation (F32)
|
100% |
234
0.28 IPS |
|
|
Pose Estimation (F16)
|
100% |
233
0.28 IPS |
|
|
Pose Estimation (I8)
|
100% |
693
0.84 IPS |
|
|
Object Detection (F32)
|
100% |
127
9.47 IPS |
|
|
Object Detection (F16)
|
100% |
125
9.35 IPS |
|
|
Object Detection (I8)
|
61% |
216
16.1 IPS |
|
|
Face Detection (F32)
|
100% |
275
3.27 IPS |
|
|
Face Detection (F16)
|
100% |
274
3.26 IPS |
|
|
Face Detection (I8)
|
86% |
468
5.56 IPS |
|
|
Depth Estimation (F32)
|
100% |
253
1.96 IPS |
|
|
Depth Estimation (F16)
|
100% |
249
1.93 IPS |
|
|
Depth Estimation (I8)
|
95% |
472
3.66 IPS |
|
|
Style Transfer (F32)
|
100% |
424
0.56 IPS |
|
|
Style Transfer (F16)
|
100% |
413
0.54 IPS |
|
|
Style Transfer (I8)
|
98% |
981
1.29 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
146
5.21 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
145
5.18 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
317
11.3 IPS |
|
|
Text Classification (F32)
|
100% |
108
155.6 IPS |
|
|
Text Classification (F16)
|
100% |
103
147.5 IPS |
|
|
Text Classification (I8)
|
92% |
95
136.9 IPS |
|
|
Machine Translation (F32)
|
100% |
215
3.95 IPS |
|
|
Machine Translation (F16)
|
100% |
218
4.02 IPS |
|
|
Machine Translation (I8)
|
64% |
124
2.29 IPS |
