Xiaomi Redmi Note 10 Pro
Geekbench AI Score
156
Single Precision Score
242
Half Precision Score
532
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | pestana58 |
| Upload Date | January 04 2025 06:01 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 732G |
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | Xiaomi Redmi Note 10 Pro |
| Model ID | Xiaomi M2101K6G |
| Motherboard | sweet |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 13 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.30 GHz |
| Memory Information | |
|---|---|
| Size | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
180
33.4 IPS |
|
|
Image Classification (HP)
|
100% |
264
49.1 IPS |
|
|
Image Classification (Q)
|
97% |
555
103.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
224
3.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
132
2.14 IPS |
|
|
Image Segmentation (Q)
|
98% |
621
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
526
0.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
1214
1.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
4068
4.77 IPS |
|
|
Object Detection (SP)
|
100% |
176
14.0 IPS |
|
|
Object Detection (HP)
|
100% |
80
6.32 IPS |
|
|
Object Detection (Q)
|
85% |
578
46.5 IPS |
|
|
Face Detection (SP)
|
100% |
396
4.70 IPS |
|
|
Face Detection (HP)
|
100% |
206
2.44 IPS |
|
|
Face Detection (Q)
|
97% |
1363
16.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
272
2.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
174
1.34 IPS |
|
|
Depth Estimation (Q)
|
22% |
100
23.0 IPS |
|
|
Style Transfer (SP)
|
100% |
423
0.54 IPS |
|
|
Style Transfer (HP)
|
100% |
294
0.38 IPS |
|
|
Style Transfer (Q)
|
98% |
1764
2.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
594
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1731
64.2 IPS |
|
|
Text Classification (SP)
|
71% |
2
3.00 IPS |
|
|
Text Classification (HP)
|
100% |
139
185.7 IPS |
|
|
Text Classification (Q)
|
93% |
53
70.7 IPS |
|
|
Machine Translation (SP)
|
100% |
83
1.44 IPS |
|
|
Machine Translation (HP)
|
100% |
235
4.06 IPS |
|
|
Machine Translation (Q)
|
54% |
102
2.86 IPS |
