Xiaomi Redmi Note 9S
Geekbench AI Score
508
Single Precision Score
512
Half Precision Score
985
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 04:08 AM |
| Views | 1 |
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% |
231
43.0 IPS |
|
|
Image Classification (HP)
|
100% |
237
44.0 IPS |
|
|
Image Classification (Q)
|
100% |
675
125.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
292
4.74 IPS |
|
|
Image Segmentation (HP)
|
100% |
282
4.58 IPS |
|
|
Image Segmentation (Q)
|
98% |
743
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1120
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1139
1.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
1705
2.02 IPS |
|
|
Object Detection (SP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
83% |
685
55.3 IPS |
|
|
Face Detection (SP)
|
100% |
678
8.05 IPS |
|
|
Face Detection (HP)
|
100% |
688
8.17 IPS |
|
|
Face Detection (Q)
|
95% |
1549
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
839
6.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
901
6.94 IPS |
|
|
Depth Estimation (Q)
|
64% |
1579
14.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1835
2.38 IPS |
|
|
Style Transfer (HP)
|
89% |
1885
2.45 IPS |
|
|
Style Transfer (Q)
|
98% |
3879
5.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
485
17.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
489
18.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
903
33.5 IPS |
|
|
Text Classification (SP)
|
100% |
274
365.6 IPS |
|
|
Text Classification (HP)
|
100% |
271
361.8 IPS |
|
|
Text Classification (Q)
|
88% |
512
689.9 IPS |
|
|
Machine Translation (SP)
|
100% |
471
8.10 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.81 IPS |
|
|
Machine Translation (Q)
|
50% |
335
11.9 IPS |
