Xiaomi Redmi Note 9 Pro
Geekbench AI Score
149
Single Precision Score
276
Half Precision Score
481
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Teva |
| Upload Date | January 24 2026 11:05 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
178
33.1 IPS |
|
|
Image Classification (HP)
|
100% |
223
41.4 IPS |
|
|
Image Classification (Q)
|
97% |
448
83.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
154
2.50 IPS |
|
|
Image Segmentation (Q)
|
98% |
546
8.88 IPS |
|
|
Pose Estimation (SP)
|
100% |
491
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
1158
1.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
3596
4.21 IPS |
|
|
Object Detection (SP)
|
100% |
158
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
112
8.90 IPS |
|
|
Object Detection (Q)
|
85% |
492
39.6 IPS |
|
|
Face Detection (SP)
|
100% |
328
3.90 IPS |
|
|
Face Detection (HP)
|
100% |
275
3.27 IPS |
|
|
Face Detection (Q)
|
97% |
1295
15.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
295
2.27 IPS |
|
|
Depth Estimation (HP)
|
99% |
237
1.83 IPS |
|
|
Depth Estimation (Q)
|
22% |
92
21.0 IPS |
|
|
Style Transfer (SP)
|
100% |
498
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
384
0.49 IPS |
|
|
Style Transfer (Q)
|
98% |
1865
2.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
287
10.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
537
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1595
59.1 IPS |
|
|
Text Classification (SP)
|
71% |
2
2.84 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.8 IPS |
|
|
Text Classification (Q)
|
93% |
40
53.6 IPS |
|
|
Machine Translation (SP)
|
100% |
72
1.24 IPS |
|
|
Machine Translation (HP)
|
100% |
268
4.62 IPS |
|
|
Machine Translation (Q)
|
54% |
110
3.10 IPS |
