Xiaomi 24122RKC7G
Geekbench AI Score
2008
Single Precision Score
1939
Half Precision Score
3208
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | February 01 2026 12:53 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| Model | Xiaomi 24122RKC7G |
| Model ID | Xiaomi 24122RKC7G |
| 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% |
1351
251.2 IPS |
|
|
Image Classification (HP)
|
100% |
1293
240.4 IPS |
|
|
Image Classification (Q)
|
100% |
2399
446.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1835
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3527
57.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4119
4.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
3818
4.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
9654
11.4 IPS |
|
|
Object Detection (SP)
|
98% |
1139
90.6 IPS |
|
|
Object Detection (HP)
|
98% |
1137
90.5 IPS |
|
|
Object Detection (Q)
|
83% |
2607
210.6 IPS |
|
|
Face Detection (SP)
|
100% |
3162
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
2976
35.4 IPS |
|
|
Face Detection (Q)
|
95% |
6028
72.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3254
25.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3212
24.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6412
58.7 IPS |
|
|
Style Transfer (SP)
|
89% |
8270
10.7 IPS |
|
|
Style Transfer (HP)
|
89% |
8124
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
17052
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1582
58.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1542
56.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3917
145.2 IPS |
|
|
Text Classification (SP)
|
100% |
640
854.6 IPS |
|
|
Text Classification (HP)
|
99% |
607
810.7 IPS |
|
|
Text Classification (Q)
|
88% |
520
701.5 IPS |
|
|
Machine Translation (SP)
|
100% |
1066
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1024
17.6 IPS |
|
|
Machine Translation (Q)
|
50% |
405
14.4 IPS |
