Xiaomi 24122RKC7G
Geekbench AI Score
2374
Single Precision Score
2303
Half Precision Score
4168
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 08 2025 09:10 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% |
1748
325.0 IPS |
|
|
Image Classification (HP)
|
100% |
1798
334.3 IPS |
|
|
Image Classification (Q)
|
100% |
3964
737.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2128
34.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1975
32.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
4585
74.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4265
4.98 IPS |
|
|
Pose Estimation (HP)
|
100% |
4029
4.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
10516
12.5 IPS |
|
|
Object Detection (SP)
|
98% |
1398
111.2 IPS |
|
|
Object Detection (HP)
|
98% |
1379
109.7 IPS |
|
|
Object Detection (Q)
|
83% |
3039
245.5 IPS |
|
|
Face Detection (SP)
|
100% |
3723
44.2 IPS |
|
|
Face Detection (HP)
|
100% |
3239
38.5 IPS |
|
|
Face Detection (Q)
|
95% |
8413
100.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
3593
27.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3522
27.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
8215
75.2 IPS |
|
|
Style Transfer (SP)
|
89% |
9623
12.5 IPS |
|
|
Style Transfer (HP)
|
89% |
9125
11.8 IPS |
|
|
Style Transfer (Q)
|
98% |
20715
26.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1940
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2078
76.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4783
177.2 IPS |
|
|
Text Classification (SP)
|
100% |
845
1.13 KIPS |
|
|
Text Classification (HP)
|
99% |
830
1.11 KIPS |
|
|
Text Classification (Q)
|
88% |
841
1.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1218
21.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1190
20.5 IPS |
|
|
Machine Translation (Q)
|
50% |
474
16.8 IPS |
