Xiaomi 23076RN8DY
Geekbench AI Score
567
Single Precision Score
567
Half Precision Score
1079
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 23 2025 12:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23076RN8DY |
| Model ID | Xiaomi 23076RN8DY |
| Motherboard | river |
| 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 | 6 Cores @ 1.96 GHz |
| Cluster 2 | 2 Cores @ 2.21 GHz |
| Memory Information | |
|---|---|
| Size | 7.26 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
243
45.3 IPS |
|
|
Image Classification (HP)
|
100% |
244
45.3 IPS |
|
|
Image Classification (Q)
|
100% |
740
137.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
317
5.14 IPS |
|
|
Image Segmentation (HP)
|
100% |
317
5.13 IPS |
|
|
Image Segmentation (Q)
|
98% |
829
13.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
1256
1.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1267
1.48 IPS |
|
|
Pose Estimation (Q)
|
84% |
1754
2.08 IPS |
|
|
Object Detection (SP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (HP)
|
100% |
245
19.4 IPS |
|
|
Object Detection (Q)
|
83% |
725
58.6 IPS |
|
|
Face Detection (SP)
|
100% |
791
9.40 IPS |
|
|
Face Detection (HP)
|
100% |
788
9.36 IPS |
|
|
Face Detection (Q)
|
95% |
1717
20.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1116
8.60 IPS |
|
|
Depth Estimation (HP)
|
99% |
1117
8.61 IPS |
|
|
Depth Estimation (Q)
|
64% |
1660
15.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2060
2.67 IPS |
|
|
Style Transfer (HP)
|
89% |
2060
2.67 IPS |
|
|
Style Transfer (Q)
|
98% |
4171
5.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
556
20.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
559
20.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1007
37.3 IPS |
|
|
Text Classification (SP)
|
100% |
296
395.0 IPS |
|
|
Text Classification (HP)
|
100% |
294
392.1 IPS |
|
|
Text Classification (Q)
|
88% |
606
817.6 IPS |
|
|
Machine Translation (SP)
|
100% |
489
8.43 IPS |
|
|
Machine Translation (HP)
|
100% |
485
8.35 IPS |
|
|
Machine Translation (Q)
|
50% |
380
13.5 IPS |
