Xiaomi Redmi Note 9 Pro
Geekbench AI Score
448
Single Precision Score
420
Half Precision Score
776
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 19 2025 08:20 PM |
| 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 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% |
168
31.2 IPS |
|
|
Image Classification (HP)
|
100% |
169
31.5 IPS |
|
|
Image Classification (Q)
|
100% |
439
81.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
251
4.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
611
9.94 IPS |
|
|
Pose Estimation (SP)
|
100% |
1001
1.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
906
1.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
1566
1.86 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
201
16.0 IPS |
|
|
Object Detection (Q)
|
83% |
479
38.7 IPS |
|
|
Face Detection (SP)
|
100% |
631
7.50 IPS |
|
|
Face Detection (HP)
|
100% |
606
7.20 IPS |
|
|
Face Detection (Q)
|
95% |
1145
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
830
6.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
654
5.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
1250
11.5 IPS |
|
|
Style Transfer (SP)
|
89% |
1672
2.17 IPS |
|
|
Style Transfer (HP)
|
89% |
1559
2.02 IPS |
|
|
Style Transfer (Q)
|
98% |
3231
4.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
446
16.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
424
15.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
671
24.9 IPS |
|
|
Text Classification (SP)
|
100% |
208
278.0 IPS |
|
|
Text Classification (HP)
|
100% |
221
295.6 IPS |
|
|
Text Classification (Q)
|
88% |
428
577.8 IPS |
|
|
Machine Translation (SP)
|
100% |
434
7.48 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.48 IPS |
|
|
Machine Translation (Q)
|
50% |
300
10.7 IPS |
