Xiaomi Redmi K40
Geekbench AI Score
274
Single Precision Score
275
Half Precision Score
658
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | August 17 2024 06:49 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 870 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Redmi K40 |
| Model ID | Xiaomi M2012K11AC |
| Motherboard | alioth |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 11.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
170
31.7 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.9 IPS |
|
|
Image Classification (Q)
|
97% |
437
81.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
220
3.57 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
449
7.31 IPS |
|
|
Pose Estimation (SP)
|
100% |
292
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
292
0.34 IPS |
|
|
Pose Estimation (Q)
|
98% |
1089
1.28 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (Q)
|
89% |
482
38.6 IPS |
|
|
Face Detection (SP)
|
100% |
400
4.76 IPS |
|
|
Face Detection (HP)
|
100% |
405
4.81 IPS |
|
|
Face Detection (Q)
|
97% |
941
11.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
341
2.62 IPS |
|
|
Depth Estimation (HP)
|
100% |
342
2.64 IPS |
|
|
Depth Estimation (Q)
|
73% |
925
7.57 IPS |
|
|
Style Transfer (SP)
|
100% |
559
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
559
0.72 IPS |
|
|
Style Transfer (Q)
|
98% |
1643
2.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
171
6.33 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
172
6.34 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
670
24.8 IPS |
|
|
Text Classification (SP)
|
100% |
256
341.8 IPS |
|
|
Text Classification (HP)
|
100% |
257
343.7 IPS |
|
|
Text Classification (Q)
|
91% |
434
583.1 IPS |
|
|
Machine Translation (SP)
|
100% |
397
6.83 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (Q)
|
57% |
359
8.78 IPS |
