Xiaomi 24122RKC7C
Geekbench AI Score
1942
Single Precision Score
1841
Half Precision Score
3147
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 05:12 AM |
| Views | 2 |
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% |
1439
267.6 IPS |
|
|
Image Classification (HP)
|
100% |
1205
224.2 IPS |
|
|
Image Classification (Q)
|
100% |
2559
475.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1654
26.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1535
24.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
3877
63.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4260
4.97 IPS |
|
|
Pose Estimation (HP)
|
100% |
4159
4.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
10107
12.0 IPS |
|
|
Object Detection (SP)
|
98% |
1172
93.2 IPS |
|
|
Object Detection (HP)
|
98% |
1141
90.8 IPS |
|
|
Object Detection (Q)
|
83% |
2492
201.3 IPS |
|
|
Face Detection (SP)
|
100% |
3165
37.6 IPS |
|
|
Face Detection (HP)
|
100% |
3078
36.6 IPS |
|
|
Face Detection (Q)
|
95% |
5818
69.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3020
23.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3079
23.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
6019
55.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7886
10.2 IPS |
|
|
Style Transfer (HP)
|
89% |
7442
9.66 IPS |
|
|
Style Transfer (Q)
|
98% |
15968
20.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1478
54.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1508
55.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3411
126.4 IPS |
|
|
Text Classification (SP)
|
100% |
655
874.9 IPS |
|
|
Text Classification (HP)
|
99% |
501
668.1 IPS |
|
|
Text Classification (Q)
|
88% |
518
698.8 IPS |
|
|
Machine Translation (SP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
386
13.7 IPS |
