Xiaomi Redmi 9T
Geekbench AI Score
255
Single Precision Score
258
Half Precision Score
310
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | almaspite |
| Upload Date | February 17 2026 09:48 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 662 |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Redmi 9T |
| Model ID | Xiaomi M2010J19SY |
| Motherboard | lemon |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 10 part 2048 revision 2 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.02 GHz |
| Memory Information | |
|---|---|
| Size | 3.63 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
137
25.4 IPS |
|
|
Image Classification (HP)
|
100% |
146
27.1 IPS |
|
|
Image Classification (Q)
|
99% |
233
43.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
176
2.85 IPS |
|
|
Image Segmentation (HP)
|
100% |
175
2.84 IPS |
|
|
Image Segmentation (Q)
|
98% |
279
4.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
628
0.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
601
0.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
572
0.67 IPS |
|
|
Object Detection (SP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (HP)
|
100% |
130
10.3 IPS |
|
|
Object Detection (Q)
|
85% |
181
14.5 IPS |
|
|
Face Detection (SP)
|
100% |
294
3.49 IPS |
|
|
Face Detection (HP)
|
100% |
298
3.55 IPS |
|
|
Face Detection (Q)
|
97% |
430
5.13 IPS |
|
|
Depth Estimation (SP)
|
100% |
412
3.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
395
3.04 IPS |
|
|
Depth Estimation (Q)
|
64% |
428
3.95 IPS |
|
|
Style Transfer (SP)
|
89% |
997
1.29 IPS |
|
|
Style Transfer (HP)
|
89% |
1098
1.43 IPS |
|
|
Style Transfer (Q)
|
98% |
1236
1.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
209
7.71 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
212
7.81 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
260
9.63 IPS |
|
|
Text Classification (SP)
|
100% |
127
169.0 IPS |
|
|
Text Classification (HP)
|
100% |
122
163.3 IPS |
|
|
Text Classification (Q)
|
93% |
139
186.1 IPS |
|
|
Machine Translation (SP)
|
100% |
190
3.27 IPS |
|
|
Machine Translation (HP)
|
100% |
203
3.50 IPS |
|
|
Machine Translation (Q)
|
55% |
150
4.02 IPS |
