Xiaomi 2201117TY
Geekbench ML Score
275
TensorFlow Lite CPU Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | January 21 2024 04:38 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi 2201117TY |
| Model ID | Xiaomi 2201117TY |
| Motherboard | spesn |
| 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% |
153
28.6 IPS |
|
|
Image Classification (F16)
|
100% |
160
30.0 IPS |
|
|
Image Classification (I8)
|
97% |
240
44.9 IPS |
|
|
Image Segmentation (F32)
|
100% |
205
3.42 IPS |
|
|
Image Segmentation (F16)
|
100% |
209
3.49 IPS |
|
|
Image Segmentation (I8)
|
98% |
234
3.91 IPS |
|
|
Pose Estimation (F32)
|
100% |
289
0.35 IPS |
|
|
Pose Estimation (F16)
|
100% |
284
0.34 IPS |
|
|
Pose Estimation (I8)
|
100% |
807
0.98 IPS |
|
|
Object Detection (F32)
|
100% |
164
12.2 IPS |
|
|
Object Detection (F16)
|
100% |
165
12.4 IPS |
|
|
Object Detection (I8)
|
61% |
272
20.3 IPS |
|
|
Face Detection (F32)
|
100% |
321
3.82 IPS |
|
|
Face Detection (F16)
|
100% |
326
3.87 IPS |
|
|
Face Detection (I8)
|
86% |
505
6.01 IPS |
|
|
Depth Estimation (F32)
|
100% |
302
2.34 IPS |
|
|
Depth Estimation (F16)
|
100% |
304
2.36 IPS |
|
|
Depth Estimation (I8)
|
95% |
560
4.35 IPS |
|
|
Style Transfer (F32)
|
100% |
284
0.37 IPS |
|
|
Style Transfer (F16)
|
100% |
426
0.56 IPS |
|
|
Style Transfer (I8)
|
98% |
1030
1.35 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
191
6.82 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
194
6.92 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
381
13.6 IPS |
|
|
Text Classification (F32)
|
100% |
204
293.4 IPS |
|
|
Text Classification (F16)
|
100% |
201
288.9 IPS |
|
|
Text Classification (I8)
|
92% |
148
213.3 IPS |
|
|
Machine Translation (F32)
|
100% |
370
6.80 IPS |
|
|
Machine Translation (F16)
|
100% |
367
6.75 IPS |
|
|
Machine Translation (I8)
|
64% |
146
2.68 IPS |
