Xiaomi Redmi K40
Geekbench AI Score
451
Single Precision Score
554
Half Precision Score
1391
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | September 07 2024 08:42 PM |
| Views | 4 |
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 | 11.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
460
85.6 IPS |
|
|
Image Classification (HP)
|
100% |
760
141.4 IPS |
|
|
Image Classification (Q)
|
97% |
1412
263.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
653
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
221
3.59 IPS |
|
|
Image Segmentation (Q)
|
98% |
1272
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1593
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
5967
6.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
11288
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
449
35.6 IPS |
|
|
Object Detection (HP)
|
100% |
168
13.3 IPS |
|
|
Object Detection (Q)
|
85% |
1611
129.6 IPS |
|
|
Face Detection (SP)
|
100% |
1262
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
400
4.76 IPS |
|
|
Face Detection (Q)
|
97% |
3502
41.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
529
4.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
337
2.60 IPS |
|
|
Depth Estimation (Q)
|
22% |
262
60.1 IPS |
|
|
Style Transfer (SP)
|
100% |
840
1.08 IPS |
|
|
Style Transfer (HP)
|
100% |
552
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
4287
5.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
804
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2262
83.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5296
196.2 IPS |
|
|
Text Classification (SP)
|
71% |
12
17.4 IPS |
|
|
Text Classification (HP)
|
100% |
249
332.8 IPS |
|
|
Text Classification (Q)
|
93% |
152
204.7 IPS |
|
|
Machine Translation (SP)
|
100% |
306
5.28 IPS |
|
|
Machine Translation (HP)
|
100% |
386
6.65 IPS |
|
|
Machine Translation (Q)
|
54% |
264
7.44 IPS |
