Xiaomi Redmi K40
Geekbench AI Score
438
Single Precision Score
508
Half Precision Score
1364
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | September 07 2024 08:29 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 | 11.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
461
85.8 IPS |
|
|
Image Classification (HP)
|
100% |
756
140.7 IPS |
|
|
Image Classification (Q)
|
97% |
1336
249.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
658
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
195
3.16 IPS |
|
|
Image Segmentation (Q)
|
98% |
1247
20.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1595
1.86 IPS |
|
|
Pose Estimation (HP)
|
100% |
6003
7.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
11359
13.3 IPS |
|
|
Object Detection (SP)
|
100% |
454
36.0 IPS |
|
|
Object Detection (HP)
|
100% |
146
11.6 IPS |
|
|
Object Detection (Q)
|
85% |
1618
130.2 IPS |
|
|
Face Detection (SP)
|
100% |
1260
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
362
4.30 IPS |
|
|
Face Detection (Q)
|
97% |
3545
42.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
495
3.82 IPS |
|
|
Depth Estimation (HP)
|
99% |
296
2.28 IPS |
|
|
Depth Estimation (Q)
|
22% |
258
59.0 IPS |
|
|
Style Transfer (SP)
|
100% |
750
0.96 IPS |
|
|
Style Transfer (HP)
|
100% |
493
0.63 IPS |
|
|
Style Transfer (Q)
|
98% |
3896
5.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
811
30.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2271
83.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5360
198.6 IPS |
|
|
Text Classification (SP)
|
71% |
11
16.5 IPS |
|
|
Text Classification (HP)
|
100% |
217
290.3 IPS |
|
|
Text Classification (Q)
|
93% |
161
216.2 IPS |
|
|
Machine Translation (SP)
|
100% |
284
4.89 IPS |
|
|
Machine Translation (HP)
|
100% |
343
5.90 IPS |
|
|
Machine Translation (Q)
|
54% |
238
6.70 IPS |
