Xiaomi Redmi Note 10
Geekbench AI Score
496
Single Precision Score
494
Half Precision Score
973
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Zafarbek05 |
| Upload Date | October 13 2024 05:18 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 678 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Redmi Note 10 |
| Model ID | Xiaomi M2101K7AG |
| Motherboard | sunny |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.71 GHz |
| Cluster 1 | 6 Cores @ 1.71 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 3.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
228
42.4 IPS |
|
|
Image Classification (HP)
|
100% |
230
42.8 IPS |
|
|
Image Classification (Q)
|
100% |
671
124.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (HP)
|
100% |
277
4.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
719
11.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1053
1.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
1035
1.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
1647
1.95 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
225
17.8 IPS |
|
|
Object Detection (Q)
|
83% |
665
53.7 IPS |
|
|
Face Detection (SP)
|
100% |
655
7.78 IPS |
|
|
Face Detection (HP)
|
100% |
657
7.81 IPS |
|
|
Face Detection (Q)
|
95% |
1496
17.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
873
6.72 IPS |
|
|
Depth Estimation (HP)
|
99% |
876
6.75 IPS |
|
|
Depth Estimation (Q)
|
64% |
1522
13.9 IPS |
|
|
Style Transfer (SP)
|
89% |
1800
2.34 IPS |
|
|
Style Transfer (HP)
|
89% |
1801
2.34 IPS |
|
|
Style Transfer (Q)
|
98% |
3712
4.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
460
17.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
449
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
929
34.4 IPS |
|
|
Text Classification (SP)
|
100% |
280
373.5 IPS |
|
|
Text Classification (HP)
|
100% |
277
369.2 IPS |
|
|
Text Classification (Q)
|
88% |
549
740.8 IPS |
|
|
Machine Translation (SP)
|
100% |
462
7.95 IPS |
|
|
Machine Translation (HP)
|
100% |
460
7.93 IPS |
|
|
Machine Translation (Q)
|
50% |
337
12.0 IPS |
