Xiaomi Redmi Note 9 Pro
Geekbench AI Score
185
Single Precision Score
187
Half Precision Score
410
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Teva |
| Upload Date | January 24 2026 11:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 720G |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Redmi Note 9 Pro |
| Model ID | Xiaomi Redmi Note 9 Pro |
| Motherboard | joyeuse |
| 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% |
111
20.7 IPS |
|
|
Image Classification (HP)
|
100% |
111
20.7 IPS |
|
|
Image Classification (Q)
|
99% |
268
49.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
149
2.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.52 IPS |
|
|
Image Segmentation (Q)
|
98% |
281
4.56 IPS |
|
|
Pose Estimation (SP)
|
100% |
206
0.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
206
0.24 IPS |
|
|
Pose Estimation (Q)
|
98% |
774
0.91 IPS |
|
|
Object Detection (SP)
|
100% |
113
8.92 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.96 IPS |
|
|
Object Detection (Q)
|
87% |
299
24.0 IPS |
|
|
Face Detection (SP)
|
100% |
268
3.19 IPS |
|
|
Face Detection (HP)
|
100% |
273
3.25 IPS |
|
|
Face Detection (Q)
|
97% |
556
6.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
234
1.80 IPS |
|
|
Depth Estimation (HP)
|
99% |
234
1.80 IPS |
|
|
Depth Estimation (Q)
|
64% |
544
4.94 IPS |
|
|
Style Transfer (SP)
|
100% |
383
0.49 IPS |
|
|
Style Transfer (HP)
|
100% |
383
0.49 IPS |
|
|
Style Transfer (Q)
|
98% |
1159
1.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
116
4.29 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
116
4.29 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
406
15.0 IPS |
|
|
Text Classification (SP)
|
100% |
169
225.9 IPS |
|
|
Text Classification (HP)
|
100% |
168
224.2 IPS |
|
|
Text Classification (Q)
|
91% |
269
361.9 IPS |
|
|
Machine Translation (SP)
|
100% |
272
4.69 IPS |
|
|
Machine Translation (HP)
|
100% |
275
4.73 IPS |
|
|
Machine Translation (Q)
|
57% |
203
4.97 IPS |
