Xiaomi Redmi Note 9 Pro
Geekbench AI Score
176
Single Precision Score
261
Half Precision Score
259
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | bulmasen |
| Upload Date | May 09 2025 05:59 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
101
18.9 IPS |
|
|
Image Classification (HP)
|
100% |
161
29.9 IPS |
|
|
Image Classification (Q)
|
97% |
164
30.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
125
2.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
202
3.28 IPS |
|
|
Image Segmentation (Q)
|
98% |
163
2.66 IPS |
|
|
Pose Estimation (SP)
|
100% |
201
0.23 IPS |
|
|
Pose Estimation (HP)
|
100% |
276
0.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
274
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
86
6.82 IPS |
|
|
Object Detection (HP)
|
100% |
123
9.79 IPS |
|
|
Object Detection (Q)
|
89% |
134
10.7 IPS |
|
|
Face Detection (SP)
|
100% |
231
2.74 IPS |
|
|
Face Detection (HP)
|
100% |
400
4.76 IPS |
|
|
Face Detection (Q)
|
97% |
413
4.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
241
1.86 IPS |
|
|
Depth Estimation (HP)
|
99% |
406
3.13 IPS |
|
|
Depth Estimation (Q)
|
62% |
334
3.16 IPS |
|
|
Style Transfer (SP)
|
100% |
472
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
1015
1.30 IPS |
|
|
Style Transfer (Q)
|
98% |
1007
1.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
118
4.36 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
193
7.11 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
186
6.91 IPS |
|
|
Text Classification (SP)
|
100% |
164
219.2 IPS |
|
|
Text Classification (HP)
|
100% |
160
213.4 IPS |
|
|
Text Classification (Q)
|
91% |
272
365.0 IPS |
|
|
Machine Translation (SP)
|
100% |
267
4.60 IPS |
|
|
Machine Translation (HP)
|
100% |
271
4.67 IPS |
|
|
Machine Translation (Q)
|
57% |
204
4.99 IPS |
