Xiaomi 24122RKC7G
Geekbench AI Score
2701
Single Precision Score
4361
Half Precision Score
3532
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | EDDY_TG |
| Upload Date | August 18 2025 01:53 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
1690
314.3 IPS |
|
|
Image Classification (HP)
|
100% |
3166
588.9 IPS |
|
|
Image Classification (Q)
|
100% |
2983
554.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3332
54.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
6134
99.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4280
69.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12603
14.7 IPS |
|
|
Pose Estimation (HP)
|
99% |
22625
26.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
22525
26.4 IPS |
|
|
Object Detection (SP)
|
100% |
1538
122.0 IPS |
|
|
Object Detection (HP)
|
99% |
2014
159.8 IPS |
|
|
Object Detection (Q)
|
85% |
2029
163.3 IPS |
|
|
Face Detection (SP)
|
100% |
5126
60.9 IPS |
|
|
Face Detection (HP)
|
100% |
9950
118.2 IPS |
|
|
Face Detection (Q)
|
97% |
7717
92.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6519
50.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
8935
69.1 IPS |
|
|
Depth Estimation (Q)
|
61% |
7106
69.2 IPS |
|
|
Style Transfer (SP)
|
100% |
15974
20.5 IPS |
|
|
Style Transfer (HP)
|
100% |
35548
45.7 IPS |
|
|
Style Transfer (Q)
|
98% |
35025
45.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3517
129.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5659
208.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5521
204.6 IPS |
|
|
Text Classification (SP)
|
35% |
100
974.1 IPS |
|
|
Text Classification (HP)
|
35% |
96
873.2 IPS |
|
|
Text Classification (Q)
|
33% |
77
859.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1012
17.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1641
28.3 IPS |
|
|
Machine Translation (Q)
|
48% |
635
24.4 IPS |
