Xiaomi Redmi K50 Pro
Geekbench AI Score
1194
Single Precision Score
1215
Half Precision Score
2248
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 10:08 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 9000 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | Xiaomi Redmi K50 Pro |
| Model ID | Xiaomi 22011211C |
| Motherboard | matisse |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.85 GHz |
| Cluster 3 | 1 Core @ 3.05 GHz |
| Memory Information | |
|---|---|
| Size | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1078
200.5 IPS |
|
|
Image Classification (HP)
|
100% |
790
146.8 IPS |
|
|
Image Classification (Q)
|
100% |
1703
316.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
994
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
973
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1693
27.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1952
2.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
1946
2.27 IPS |
|
|
Pose Estimation (Q)
|
84% |
4579
5.43 IPS |
|
|
Object Detection (SP)
|
98% |
699
55.6 IPS |
|
|
Object Detection (HP)
|
98% |
719
57.2 IPS |
|
|
Object Detection (Q)
|
83% |
1512
122.1 IPS |
|
|
Face Detection (SP)
|
100% |
1498
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
1449
17.2 IPS |
|
|
Face Detection (Q)
|
95% |
3660
43.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1861
14.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1844
14.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3772
34.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4740
6.15 IPS |
|
|
Style Transfer (HP)
|
89% |
4705
6.11 IPS |
|
|
Style Transfer (Q)
|
98% |
10692
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1014
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1118
41.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2810
104.1 IPS |
|
|
Text Classification (SP)
|
100% |
464
619.6 IPS |
|
|
Text Classification (HP)
|
99% |
545
728.1 IPS |
|
|
Text Classification (Q)
|
88% |
1062
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
650
11.2 IPS |
|
|
Machine Translation (HP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (Q)
|
50% |
375
13.3 IPS |
