Xiaomi 24122RKC7C
Geekbench AI Score
2499
Single Precision Score
2453
Half Precision Score
4465
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 25 2025 06:06 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1692
314.7 IPS |
|
|
Image Classification (HP)
|
100% |
1788
332.6 IPS |
|
|
Image Classification (Q)
|
100% |
3936
731.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2103
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2138
34.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4616
75.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4932
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
4430
5.17 IPS |
|
|
Pose Estimation (Q)
|
84% |
11767
14.0 IPS |
|
|
Object Detection (SP)
|
98% |
1526
121.4 IPS |
|
|
Object Detection (HP)
|
98% |
1617
128.7 IPS |
|
|
Object Detection (Q)
|
83% |
3557
287.3 IPS |
|
|
Face Detection (SP)
|
100% |
4031
47.9 IPS |
|
|
Face Detection (HP)
|
100% |
4008
47.6 IPS |
|
|
Face Detection (Q)
|
95% |
8857
105.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
4325
33.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3993
30.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
8639
79.1 IPS |
|
|
Style Transfer (SP)
|
89% |
9975
12.9 IPS |
|
|
Style Transfer (HP)
|
89% |
9756
12.7 IPS |
|
|
Style Transfer (Q)
|
98% |
21461
27.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2082
76.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1982
73.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5666
209.9 IPS |
|
|
Text Classification (SP)
|
100% |
880
1.17 KIPS |
|
|
Text Classification (HP)
|
99% |
798
1.07 KIPS |
|
|
Text Classification (Q)
|
88% |
1009
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1116
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (Q)
|
50% |
442
15.7 IPS |
