Xiaomi Redmi K40
Geekbench AI Score
668
Single Precision Score
670
Half Precision Score
1142
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | September 02 2024 08:57 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
523
97.3 IPS |
|
|
Image Classification (HP)
|
100% |
507
94.3 IPS |
|
|
Image Classification (Q)
|
100% |
1518
282.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
674
10.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1720
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2274
2.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
2302
2.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
3540
4.20 IPS |
|
|
Object Detection (SP)
|
100% |
494
39.2 IPS |
|
|
Object Detection (HP)
|
100% |
500
39.7 IPS |
|
|
Object Detection (Q)
|
87% |
1374
110.4 IPS |
|
|
Face Detection (SP)
|
100% |
1605
19.1 IPS |
|
|
Face Detection (HP)
|
100% |
1605
19.1 IPS |
|
|
Face Detection (Q)
|
95% |
3250
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1978
15.2 IPS |
|
|
Depth Estimation (HP)
|
100% |
2007
15.5 IPS |
|
|
Depth Estimation (Q)
|
75% |
1180
9.57 IPS |
|
|
Style Transfer (SP)
|
89% |
1101
1.43 IPS |
|
|
Style Transfer (HP)
|
89% |
1106
1.44 IPS |
|
|
Style Transfer (Q)
|
98% |
2468
3.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
290
10.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
647
24.0 IPS |
|
|
Text Classification (SP)
|
100% |
175
233.8 IPS |
|
|
Text Classification (HP)
|
100% |
176
235.3 IPS |
|
|
Text Classification (Q)
|
88% |
289
389.8 IPS |
|
|
Machine Translation (SP)
|
100% |
256
4.41 IPS |
|
|
Machine Translation (HP)
|
100% |
254
4.37 IPS |
|
|
Machine Translation (Q)
|
50% |
168
5.96 IPS |
