Xiaomi Redmi Note 9 Pro
Geekbench AI Score
146
Single Precision Score
276
Half Precision Score
474
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | bulmasen |
| Upload Date | May 09 2025 07:17 AM |
| Views | 17 |
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% |
166
30.9 IPS |
|
|
Image Classification (HP)
|
100% |
226
42.1 IPS |
|
|
Image Classification (Q)
|
97% |
433
80.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
201
3.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
155
2.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
573
9.32 IPS |
|
|
Pose Estimation (SP)
|
100% |
494
0.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1153
1.35 IPS |
|
|
Pose Estimation (Q)
|
96% |
3596
4.21 IPS |
|
|
Object Detection (SP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
113
8.99 IPS |
|
|
Object Detection (Q)
|
85% |
500
40.3 IPS |
|
|
Face Detection (SP)
|
100% |
330
3.92 IPS |
|
|
Face Detection (HP)
|
100% |
278
3.30 IPS |
|
|
Face Detection (Q)
|
97% |
1299
15.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
286
2.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
236
1.82 IPS |
|
|
Depth Estimation (Q)
|
22% |
90
20.6 IPS |
|
|
Style Transfer (SP)
|
100% |
494
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
384
0.49 IPS |
|
|
Style Transfer (Q)
|
98% |
1858
2.40 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
289
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
536
19.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1593
59.0 IPS |
|
|
Text Classification (SP)
|
71% |
2
2.84 IPS |
|
|
Text Classification (HP)
|
100% |
162
216.9 IPS |
|
|
Text Classification (Q)
|
93% |
38
50.7 IPS |
|
|
Machine Translation (SP)
|
100% |
63
1.08 IPS |
|
|
Machine Translation (HP)
|
100% |
263
4.52 IPS |
|
|
Machine Translation (Q)
|
54% |
98
2.77 IPS |
