Xiaomi Redmi Note 12 Turbo
Geekbench AI Score
1178
Single Precision Score
1155
Half Precision Score
2614
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 10:23 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 7+ Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi Redmi Note 12 Turbo |
| Model ID | Xiaomi 23049RAD8C |
| Motherboard | marble |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 2.92 GHz |
| Memory Information | |
|---|---|
| Size | 7.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
622
115.7 IPS |
|
|
Image Classification (HP)
|
100% |
618
115.0 IPS |
|
|
Image Classification (Q)
|
100% |
2234
415.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
770
12.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2429
39.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2756
3.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
2671
3.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
5714
6.78 IPS |
|
|
Object Detection (SP)
|
100% |
462
36.7 IPS |
|
|
Object Detection (HP)
|
100% |
464
36.8 IPS |
|
|
Object Detection (Q)
|
83% |
1846
149.1 IPS |
|
|
Face Detection (SP)
|
100% |
1757
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
1633
19.4 IPS |
|
|
Face Detection (Q)
|
95% |
3676
43.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2379
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2191
16.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4063
37.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3799
4.93 IPS |
|
|
Style Transfer (HP)
|
89% |
3785
4.91 IPS |
|
|
Style Transfer (Q)
|
98% |
10505
13.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1218
45.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1218
45.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2586
95.8 IPS |
|
|
Text Classification (SP)
|
100% |
498
664.6 IPS |
|
|
Text Classification (HP)
|
100% |
497
663.6 IPS |
|
|
Text Classification (Q)
|
88% |
973
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
879
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
881
15.2 IPS |
|
|
Machine Translation (Q)
|
50% |
660
23.4 IPS |
