Xiaomi Redmi K40
Geekbench AI Score
452
Single Precision Score
547
Half Precision Score
1754
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | August 16 2024 05:58 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
473
88.0 IPS |
|
|
Image Classification (HP)
|
100% |
758
141.0 IPS |
|
|
Image Classification (Q)
|
97% |
1333
248.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
670
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
216
3.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
1226
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1617
1.89 IPS |
|
|
Pose Estimation (HP)
|
100% |
6029
7.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
11215
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
451
35.8 IPS |
|
|
Object Detection (HP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (Q)
|
89% |
1732
138.6 IPS |
|
|
Face Detection (SP)
|
100% |
1275
15.1 IPS |
|
|
Face Detection (HP)
|
100% |
395
4.69 IPS |
|
|
Face Detection (Q)
|
97% |
3559
42.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
539
4.15 IPS |
|
|
Depth Estimation (HP)
|
100% |
335
2.58 IPS |
|
|
Depth Estimation (Q)
|
46% |
2850
57.3 IPS |
|
|
Style Transfer (SP)
|
100% |
841
1.08 IPS |
|
|
Style Transfer (HP)
|
100% |
550
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
4207
5.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
816
30.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2251
83.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5267
195.2 IPS |
|
|
Text Classification (SP)
|
71% |
11
15.8 IPS |
|
|
Text Classification (HP)
|
100% |
238
318.3 IPS |
|
|
Text Classification (Q)
|
93% |
150
201.4 IPS |
|
|
Machine Translation (SP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (HP)
|
100% |
386
6.66 IPS |
|
|
Machine Translation (Q)
|
54% |
258
7.26 IPS |
