Xiaomi 24122RKC7C
Geekbench AI Score
2081
Single Precision Score
2220
Half Precision Score
3687
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 20 2025 06:34 PM |
| 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 | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
774
144.0 IPS |
|
|
Image Classification (HP)
|
100% |
1498
278.6 IPS |
|
|
Image Classification (Q)
|
100% |
3877
720.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1939
31.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1994
32.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
3947
64.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4385
5.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
4447
5.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
11699
13.9 IPS |
|
|
Object Detection (SP)
|
98% |
1376
109.5 IPS |
|
|
Object Detection (HP)
|
98% |
1383
110.0 IPS |
|
|
Object Detection (Q)
|
83% |
3251
262.6 IPS |
|
|
Face Detection (SP)
|
100% |
3732
44.3 IPS |
|
|
Face Detection (HP)
|
100% |
3793
45.1 IPS |
|
|
Face Detection (Q)
|
95% |
7477
89.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
3953
30.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3292
25.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
7093
65.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9759
12.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9336
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
16783
21.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1628
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1917
70.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3448
127.7 IPS |
|
|
Text Classification (SP)
|
100% |
695
927.8 IPS |
|
|
Text Classification (HP)
|
99% |
679
906.4 IPS |
|
|
Text Classification (Q)
|
88% |
645
870.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1037
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1047
18.0 IPS |
|
|
Machine Translation (Q)
|
50% |
404
14.3 IPS |
