Xiaomi 24122RKC7G
Geekbench AI Score
933
Single Precision Score
866
Half Precision Score
1420
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 11 2025 04:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
713
132.6 IPS |
|
|
Image Classification (HP)
|
100% |
618
114.8 IPS |
|
|
Image Classification (Q)
|
100% |
1480
275.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
892
14.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
925
15.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1687
27.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2386
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2316
2.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
5024
5.96 IPS |
|
|
Object Detection (SP)
|
98% |
733
58.4 IPS |
|
|
Object Detection (HP)
|
98% |
619
49.2 IPS |
|
|
Object Detection (Q)
|
83% |
1241
100.3 IPS |
|
|
Face Detection (SP)
|
100% |
1789
21.3 IPS |
|
|
Face Detection (HP)
|
100% |
1495
17.8 IPS |
|
|
Face Detection (Q)
|
95% |
2384
28.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1711
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1215
9.39 IPS |
|
|
Depth Estimation (Q)
|
64% |
2144
19.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3766
4.89 IPS |
|
|
Style Transfer (HP)
|
89% |
4095
5.32 IPS |
|
|
Style Transfer (Q)
|
98% |
8448
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
627
23.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
602
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1544
57.2 IPS |
|
|
Text Classification (SP)
|
100% |
195
260.1 IPS |
|
|
Text Classification (HP)
|
99% |
187
249.0 IPS |
|
|
Text Classification (Q)
|
88% |
238
321.4 IPS |
|
|
Machine Translation (SP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (HP)
|
100% |
346
5.96 IPS |
|
|
Machine Translation (Q)
|
50% |
135
4.80 IPS |
