Xiaomi Redmi Note 9S
Geekbench AI Score
508
Single Precision Score
503
Half Precision Score
977
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 13 2024 10:38 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 720G |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Redmi Note 9S |
| Model ID | Xiaomi Redmi Note 9S |
| Motherboard | curtana |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 15 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.32 GHz |
| Memory Information | |
|---|---|
| Size | 5.45 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
222
41.3 IPS |
|
|
Image Classification (HP)
|
100% |
234
43.5 IPS |
|
|
Image Classification (Q)
|
100% |
675
125.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
287
4.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
279
4.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
734
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1102
1.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1121
1.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
1706
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
83% |
677
54.7 IPS |
|
|
Face Detection (SP)
|
100% |
682
8.10 IPS |
|
|
Face Detection (HP)
|
100% |
688
8.18 IPS |
|
|
Face Detection (Q)
|
95% |
1534
18.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
907
6.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
856
6.60 IPS |
|
|
Depth Estimation (Q)
|
64% |
1560
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1893
2.46 IPS |
|
|
Style Transfer (HP)
|
89% |
1899
2.47 IPS |
|
|
Style Transfer (Q)
|
98% |
3881
5.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
476
17.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
449
16.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
943
35.0 IPS |
|
|
Text Classification (SP)
|
100% |
275
367.5 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.7 IPS |
|
|
Text Classification (Q)
|
88% |
481
648.1 IPS |
|
|
Machine Translation (SP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (HP)
|
100% |
461
7.93 IPS |
|
|
Machine Translation (Q)
|
50% |
332
11.8 IPS |
