Xiaomi 24122RKC7G
Geekbench AI Score
468
Single Precision Score
491
Half Precision Score
1227
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | EDDY_TG |
| Upload Date | August 18 2025 02:04 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
194
36.1 IPS |
|
|
Image Classification (HP)
|
100% |
351
65.4 IPS |
|
|
Image Classification (Q)
|
99% |
980
182.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
444
7.19 IPS |
|
|
Image Segmentation (HP)
|
100% |
393
6.36 IPS |
|
|
Image Segmentation (Q)
|
98% |
837
13.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
548
0.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
540
0.63 IPS |
|
|
Pose Estimation (Q)
|
98% |
2257
2.64 IPS |
|
|
Object Detection (SP)
|
100% |
195
15.5 IPS |
|
|
Object Detection (HP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (Q)
|
87% |
900
72.2 IPS |
|
|
Face Detection (SP)
|
100% |
796
9.46 IPS |
|
|
Face Detection (HP)
|
100% |
510
6.06 IPS |
|
|
Face Detection (Q)
|
97% |
1988
23.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
637
4.91 IPS |
|
|
Depth Estimation (HP)
|
99% |
413
3.18 IPS |
|
|
Depth Estimation (Q)
|
64% |
1686
15.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1118
1.44 IPS |
|
|
Style Transfer (HP)
|
100% |
1130
1.45 IPS |
|
|
Style Transfer (Q)
|
98% |
3238
4.18 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
369
13.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
379
14.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1436
53.2 IPS |
|
|
Text Classification (SP)
|
100% |
529
706.4 IPS |
|
|
Text Classification (HP)
|
100% |
513
684.6 IPS |
|
|
Text Classification (Q)
|
91% |
492
661.7 IPS |
|
|
Machine Translation (SP)
|
100% |
500
8.62 IPS |
|
|
Machine Translation (HP)
|
100% |
754
13.0 IPS |
|
|
Machine Translation (Q)
|
57% |
607
14.8 IPS |
