Xiaomi 24122RKC7C
Geekbench AI Score
1803
Single Precision Score
1854
Half Precision Score
2967
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 10 2025 09:53 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 24122RKC7C |
| Model ID | Xiaomi 24122RKC7C |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
981
182.5 IPS |
|
|
Image Classification (HP)
|
100% |
1113
207.0 IPS |
|
|
Image Classification (Q)
|
100% |
2084
387.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1381
22.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
3246
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3506
4.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
3683
4.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
8952
10.6 IPS |
|
|
Object Detection (SP)
|
98% |
1096
87.2 IPS |
|
|
Object Detection (HP)
|
98% |
1136
90.4 IPS |
|
|
Object Detection (Q)
|
83% |
2531
204.5 IPS |
|
|
Face Detection (SP)
|
100% |
3180
37.8 IPS |
|
|
Face Detection (HP)
|
100% |
3010
35.8 IPS |
|
|
Face Detection (Q)
|
95% |
6137
73.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3147
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3183
24.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5809
53.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7937
10.3 IPS |
|
|
Style Transfer (HP)
|
89% |
8040
10.4 IPS |
|
|
Style Transfer (Q)
|
98% |
13913
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1353
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1545
57.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3431
127.1 IPS |
|
|
Text Classification (SP)
|
100% |
654
873.3 IPS |
|
|
Text Classification (HP)
|
99% |
626
836.2 IPS |
|
|
Text Classification (Q)
|
88% |
585
789.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1046
18.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1006
17.3 IPS |
|
|
Machine Translation (Q)
|
50% |
347
12.3 IPS |
