Xiaomi Redmi Note 12 Turbo
Geekbench AI Score
238
Single Precision Score
239
Half Precision Score
25129
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 10:02 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
138
25.6 IPS |
|
|
Image Classification (HP)
|
100% |
138
25.8 IPS |
|
|
Image Classification (Q)
|
99% |
21476
4.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
180
2.91 IPS |
|
|
Image Segmentation (HP)
|
100% |
181
2.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
17518
284.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
248
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
247
0.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
150077
176.0 IPS |
|
|
Object Detection (SP)
|
100% |
138
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
138
11.0 IPS |
|
|
Object Detection (Q)
|
88% |
11566
926.5 IPS |
|
|
Face Detection (SP)
|
100% |
368
4.37 IPS |
|
|
Face Detection (HP)
|
100% |
370
4.40 IPS |
|
|
Face Detection (Q)
|
97% |
56828
677.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
314
2.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
316
2.44 IPS |
|
|
Depth Estimation (Q)
|
64% |
53382
491.4 IPS |
|
|
Style Transfer (SP)
|
100% |
562
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
562
0.72 IPS |
|
|
Style Transfer (Q)
|
98% |
182949
235.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
157
5.81 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
157
5.79 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
55706
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
200
267.4 IPS |
|
|
Text Classification (HP)
|
100% |
201
267.9 IPS |
|
|
Text Classification (Q)
|
94% |
4398
5.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
349
6.01 IPS |
|
|
Machine Translation (HP)
|
100% |
349
6.01 IPS |
|
|
Machine Translation (Q)
|
50% |
1131
39.2 IPS |
