Xiaomi Redmi K50
Geekbench AI Score
1066
Single Precision Score
1030
Half Precision Score
2184
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 27 2024 10:13 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | MediaTek Dimensity 8100 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi Redmi K50 |
| Model ID | Xiaomi 22041211AC |
| Motherboard | rubens |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 4 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 11.23 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
598
111.2 IPS |
|
|
Image Classification (HP)
|
100% |
583
108.4 IPS |
|
|
Image Classification (Q)
|
100% |
1770
329.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
756
12.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2103
34.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2690
3.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
2197
2.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
4372
5.19 IPS |
|
|
Object Detection (SP)
|
100% |
514
40.7 IPS |
|
|
Object Detection (HP)
|
100% |
513
40.7 IPS |
|
|
Object Detection (Q)
|
83% |
1527
123.4 IPS |
|
|
Face Detection (SP)
|
100% |
1540
18.3 IPS |
|
|
Face Detection (HP)
|
100% |
1462
17.4 IPS |
|
|
Face Detection (Q)
|
95% |
3256
38.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1461
11.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1443
11.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3286
30.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3786
4.91 IPS |
|
|
Style Transfer (HP)
|
89% |
3557
4.62 IPS |
|
|
Style Transfer (Q)
|
98% |
8283
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
784
28.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
789
29.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2003
74.2 IPS |
|
|
Text Classification (SP)
|
100% |
582
776.5 IPS |
|
|
Text Classification (HP)
|
100% |
573
764.7 IPS |
|
|
Text Classification (Q)
|
88% |
1038
1.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
808
13.9 IPS |
|
|
Machine Translation (Q)
|
50% |
540
19.2 IPS |
