Xiaomi 2312CRAD3C
Geekbench AI Score
615
Single Precision Score
617
Half Precision Score
1176
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | bbc123456 |
| Upload Date | September 09 2025 03:32 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 2312CRAD3C |
| Model ID | Xiaomi 2312CRAD3C |
| Motherboard | garnet |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 11.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
329
61.2 IPS |
|
|
Image Classification (HP)
|
100% |
335
62.2 IPS |
|
|
Image Classification (Q)
|
100% |
996
185.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
412
6.68 IPS |
|
|
Image Segmentation (HP)
|
100% |
419
6.79 IPS |
|
|
Image Segmentation (Q)
|
98% |
1192
19.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1679
1.96 IPS |
|
|
Pose Estimation (HP)
|
100% |
1671
1.95 IPS |
|
|
Pose Estimation (Q)
|
84% |
2731
3.24 IPS |
|
|
Object Detection (SP)
|
100% |
332
26.3 IPS |
|
|
Object Detection (HP)
|
100% |
335
26.6 IPS |
|
|
Object Detection (Q)
|
83% |
942
76.1 IPS |
|
|
Face Detection (SP)
|
100% |
962
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
967
11.5 IPS |
|
|
Face Detection (Q)
|
95% |
2489
29.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
1337
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1325
10.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2385
21.8 IPS |
|
|
Style Transfer (SP)
|
89% |
2892
3.75 IPS |
|
|
Style Transfer (HP)
|
89% |
2896
3.76 IPS |
|
|
Style Transfer (Q)
|
98% |
4990
6.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
733
27.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
735
27.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1443
53.5 IPS |
|
|
Text Classification (SP)
|
100% |
155
206.7 IPS |
|
|
Text Classification (HP)
|
100% |
155
207.4 IPS |
|
|
Text Classification (Q)
|
88% |
248
333.9 IPS |
|
|
Machine Translation (SP)
|
100% |
243
4.19 IPS |
|
|
Machine Translation (HP)
|
100% |
241
4.15 IPS |
|
|
Machine Translation (Q)
|
50% |
157
5.57 IPS |
