Xiaomi Redmi Note 10 Pro
Geekbench AI Score
432
Single Precision Score
417
Half Precision Score
768
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | pestana58 |
| Upload Date | January 04 2025 05:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
219
40.7 IPS |
|
|
Image Classification (HP)
|
100% |
213
39.7 IPS |
|
|
Image Classification (Q)
|
100% |
677
125.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
252
4.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
257
4.17 IPS |
|
|
Image Segmentation (Q)
|
98% |
640
10.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
995
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
986
1.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
1441
1.71 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
182
14.4 IPS |
|
|
Object Detection (Q)
|
83% |
575
46.5 IPS |
|
|
Face Detection (SP)
|
100% |
626
7.44 IPS |
|
|
Face Detection (HP)
|
100% |
623
7.40 IPS |
|
|
Face Detection (Q)
|
95% |
1120
13.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
717
5.53 IPS |
|
|
Depth Estimation (HP)
|
99% |
693
5.34 IPS |
|
|
Depth Estimation (Q)
|
64% |
1044
9.56 IPS |
|
|
Style Transfer (SP)
|
89% |
1386
1.80 IPS |
|
|
Style Transfer (HP)
|
89% |
1417
1.84 IPS |
|
|
Style Transfer (Q)
|
98% |
2838
3.66 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
428
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
398
14.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
634
23.5 IPS |
|
|
Text Classification (SP)
|
100% |
190
253.9 IPS |
|
|
Text Classification (HP)
|
100% |
189
251.8 IPS |
|
|
Text Classification (Q)
|
88% |
358
482.5 IPS |
|
|
Machine Translation (SP)
|
100% |
410
7.06 IPS |
|
|
Machine Translation (HP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (Q)
|
50% |
266
9.44 IPS |
