Xiaomi Redmi K40
Geekbench AI Score
273
Single Precision Score
274
Half Precision Score
420
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | September 17 2024 07:26 PM |
| Views | 2 |
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 | 11.24 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
172
32.0 IPS |
|
|
Image Classification (HP)
|
100% |
171
31.9 IPS |
|
|
Image Classification (Q)
|
96% |
1034
193.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
221
3.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
223
3.62 IPS |
|
|
Image Segmentation (Q)
|
98% |
1210
19.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
290
0.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
290
0.34 IPS |
|
|
Pose Estimation (Q)
|
96% |
13023
15.3 IPS |
|
|
Object Detection (SP)
|
100% |
169
13.4 IPS |
|
|
Object Detection (HP)
|
100% |
170
13.5 IPS |
|
|
Object Detection (Q)
|
84% |
1229
99.1 IPS |
|
|
Face Detection (SP)
|
100% |
399
4.74 IPS |
|
|
Face Detection (HP)
|
100% |
404
4.81 IPS |
|
|
Face Detection (Q)
|
97% |
2093
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
337
2.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
340
2.62 IPS |
|
|
Depth Estimation (Q)
|
0% |
0
49.1 IPS |
|
|
Style Transfer (SP)
|
100% |
557
0.72 IPS |
|
|
Style Transfer (HP)
|
100% |
553
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
18094
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
167
6.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
166
6.13 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
670
24.8 IPS |
|
|
Text Classification (SP)
|
100% |
257
342.9 IPS |
|
|
Text Classification (HP)
|
100% |
257
343.6 IPS |
|
|
Text Classification (Q)
|
93% |
338
453.3 IPS |
|
|
Machine Translation (SP)
|
100% |
397
6.84 IPS |
|
|
Machine Translation (HP)
|
100% |
398
6.85 IPS |
|
|
Machine Translation (Q)
|
0% |
0
2.00 IPS |
