Xiaomi 24122RKC7G
Geekbench AI Score
2377
Single Precision Score
2352
Half Precision Score
4218
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| Upload Date | January 03 2026 09:33 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1692
314.6 IPS |
|
|
Image Classification (HP)
|
100% |
1734
322.4 IPS |
|
|
Image Classification (Q)
|
100% |
3648
678.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
2020
32.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1980
32.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4529
73.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4686
5.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
4441
5.18 IPS |
|
|
Pose Estimation (Q)
|
84% |
11361
13.5 IPS |
|
|
Object Detection (SP)
|
98% |
1534
122.1 IPS |
|
|
Object Detection (HP)
|
98% |
1460
116.2 IPS |
|
|
Object Detection (Q)
|
83% |
3397
274.4 IPS |
|
|
Face Detection (SP)
|
100% |
3671
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
3776
44.9 IPS |
|
|
Face Detection (Q)
|
95% |
8417
100.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
3894
30.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
3896
30.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
9240
84.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9365
12.2 IPS |
|
|
Style Transfer (HP)
|
89% |
9062
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
22073
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1909
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1883
69.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4460
165.3 IPS |
|
|
Text Classification (SP)
|
100% |
786
1.05 KIPS |
|
|
Text Classification (HP)
|
99% |
790
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
802
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1168
20.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (Q)
|
50% |
456
16.2 IPS |
