Xiaomi 24122RKC7C
Geekbench AI Score
953
Single Precision Score
1806
Half Precision Score
1782
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 31 2025 02:14 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
643
119.5 IPS |
|
|
Image Classification (HP)
|
100% |
1439
267.6 IPS |
|
|
Image Classification (Q)
|
99% |
1293
241.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1439
23.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2934
47.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2234
36.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1473
1.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2477
2.89 IPS |
|
|
Pose Estimation (Q)
|
96% |
2493
2.92 IPS |
|
|
Object Detection (SP)
|
100% |
497
39.5 IPS |
|
|
Object Detection (HP)
|
100% |
1174
93.2 IPS |
|
|
Object Detection (Q)
|
86% |
1155
92.8 IPS |
|
|
Face Detection (SP)
|
100% |
2779
33.0 IPS |
|
|
Face Detection (HP)
|
100% |
4908
58.3 IPS |
|
|
Face Detection (Q)
|
97% |
4859
57.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1447
11.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
4071
31.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
3366
31.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5144
6.61 IPS |
|
|
Style Transfer (HP)
|
100% |
10980
14.1 IPS |
|
|
Style Transfer (Q)
|
98% |
10919
14.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
624
23.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1916
70.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1884
69.8 IPS |
|
|
Text Classification (SP)
|
100% |
202
269.6 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.2 IPS |
|
|
Text Classification (Q)
|
91% |
333
447.9 IPS |
|
|
Machine Translation (SP)
|
100% |
352
6.06 IPS |
|
|
Machine Translation (HP)
|
100% |
356
6.14 IPS |
|
|
Machine Translation (Q)
|
57% |
348
8.50 IPS |
