Xiaomi Redmi K40
Geekbench AI Score
224
Single Precision Score
222
Half Precision Score
984
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | LiBoHanse |
| Upload Date | June 29 2025 02:54 PM |
| Views | 7 |
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 | 11.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
149
27.8 IPS |
|
|
Image Classification (HP)
|
100% |
149
27.7 IPS |
|
|
Image Classification (Q)
|
96% |
1249
233.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
191
3.09 IPS |
|
|
Image Segmentation (HP)
|
100% |
192
3.12 IPS |
|
|
Image Segmentation (Q)
|
98% |
1283
20.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
253
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
228
0.27 IPS |
|
|
Pose Estimation (Q)
|
96% |
12958
15.2 IPS |
|
|
Object Detection (SP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
133
10.5 IPS |
|
|
Object Detection (Q)
|
84% |
1229
99.1 IPS |
|
|
Face Detection (SP)
|
100% |
330
3.92 IPS |
|
|
Face Detection (HP)
|
100% |
323
3.84 IPS |
|
|
Face Detection (Q)
|
97% |
2137
25.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
272
2.10 IPS |
|
|
Depth Estimation (HP)
|
99% |
274
2.11 IPS |
|
|
Depth Estimation (Q)
|
64% |
5551
51.0 IPS |
|
|
Style Transfer (SP)
|
100% |
451
0.58 IPS |
|
|
Style Transfer (HP)
|
100% |
445
0.57 IPS |
|
|
Style Transfer (Q)
|
98% |
18379
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
4.98 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
135
4.99 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
518
19.2 IPS |
|
|
Text Classification (SP)
|
100% |
199
265.5 IPS |
|
|
Text Classification (HP)
|
100% |
199
265.8 IPS |
|
|
Text Classification (Q)
|
93% |
297
399.0 IPS |
|
|
Machine Translation (SP)
|
100% |
313
5.40 IPS |
|
|
Machine Translation (HP)
|
100% |
318
5.47 IPS |
|
|
Machine Translation (Q)
|
0% |
0
2.06 IPS |
