Xiaomi 24122RKC7G
Geekbench AI Score
2481
Single Precision Score
2431
Half Precision Score
4404
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 08 2025 09:07 AM |
| Views | 1 |
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% |
1724
320.7 IPS |
|
|
Image Classification (HP)
|
100% |
1788
332.4 IPS |
|
|
Image Classification (Q)
|
100% |
4021
747.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2102
34.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2162
35.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4715
76.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4981
5.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
4352
5.08 IPS |
|
|
Pose Estimation (Q)
|
84% |
10142
12.0 IPS |
|
|
Object Detection (SP)
|
98% |
1525
121.4 IPS |
|
|
Object Detection (HP)
|
98% |
1584
126.0 IPS |
|
|
Object Detection (Q)
|
83% |
3535
285.6 IPS |
|
|
Face Detection (SP)
|
100% |
3908
46.4 IPS |
|
|
Face Detection (HP)
|
100% |
3873
46.0 IPS |
|
|
Face Detection (Q)
|
95% |
8846
105.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3799
29.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
3529
27.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
8519
78.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9884
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9609
12.5 IPS |
|
|
Style Transfer (Q)
|
98% |
20709
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2102
77.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2071
76.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5523
204.6 IPS |
|
|
Text Classification (SP)
|
100% |
873
1.16 KIPS |
|
|
Text Classification (HP)
|
99% |
885
1.18 KIPS |
|
|
Text Classification (Q)
|
88% |
958
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
1193
20.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1127
19.4 IPS |
|
|
Machine Translation (Q)
|
50% |
490
17.4 IPS |
