Xiaomi 24122RKC7G
Geekbench AI Score
458
Single Precision Score
26628
Half Precision Score
59929
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | EDDY_TG |
| Upload Date | August 18 2025 02:12 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
356
66.1 IPS |
|
|
Image Classification (HP)
|
100% |
20128
3.74 KIPS |
|
|
Image Classification (Q)
|
97% |
45459
8.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
392
6.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
14591
236.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
42452
690.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
531
0.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
116314
135.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
476275
557.5 IPS |
|
|
Object Detection (SP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (HP)
|
100% |
18450
1.46 KIPS |
|
|
Object Detection (Q)
|
85% |
22999
1.85 KIPS |
|
|
Face Detection (SP)
|
100% |
785
9.33 IPS |
|
|
Face Detection (HP)
|
100% |
39744
472.2 IPS |
|
|
Face Detection (Q)
|
97% |
129149
1.54 KIPS |
|
|
Depth Estimation (SP)
|
100% |
670
5.16 IPS |
|
|
Depth Estimation (HP)
|
99% |
80712
621.8 IPS |
|
|
Depth Estimation (Q)
|
63% |
139324
1.29 KIPS |
|
|
Style Transfer (SP)
|
100% |
1121
1.44 IPS |
|
|
Style Transfer (HP)
|
98% |
98127
126.5 IPS |
|
|
Style Transfer (Q)
|
98% |
494775
638.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
347
12.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
54755
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
134584
4.99 KIPS |
|
|
Text Classification (SP)
|
100% |
287
382.5 IPS |
|
|
Text Classification (HP)
|
100% |
3925
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
8075
10.8 KIPS |
|
|
Machine Translation (SP)
|
100% |
486
8.38 IPS |
|
|
Machine Translation (HP)
|
100% |
4205
72.4 IPS |
|
|
Machine Translation (Q)
|
56% |
2922
75.3 IPS |
