Xiaomi 23127PN0CC
Geekbench AI Score
235
Single Precision Score
232
Half Precision Score
316
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 01:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM MT6769H |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23127PN0CC |
| Model ID | Xiaomi 23127PN0CC |
| Motherboard | selene |
| CPU Information | |
|---|---|
| Name | ARM MT6769H |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 3 part 3338 revision 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.00 GHz |
| Memory Information | |
|---|---|
| Size | 5.59 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
98
18.2 IPS |
|
|
Image Classification (HP)
|
100% |
101
18.8 IPS |
|
|
Image Classification (Q)
|
100% |
215
40.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
124
2.00 IPS |
|
|
Image Segmentation (HP)
|
100% |
124
2.02 IPS |
|
|
Image Segmentation (Q)
|
98% |
267
4.34 IPS |
|
|
Pose Estimation (SP)
|
100% |
510
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
514
0.60 IPS |
|
|
Pose Estimation (Q)
|
84% |
407
0.48 IPS |
|
|
Object Detection (SP)
|
100% |
101
8.04 IPS |
|
|
Object Detection (HP)
|
100% |
82
6.53 IPS |
|
|
Object Detection (Q)
|
83% |
198
16.0 IPS |
|
|
Face Detection (SP)
|
100% |
321
3.81 IPS |
|
|
Face Detection (HP)
|
100% |
327
3.88 IPS |
|
|
Face Detection (Q)
|
95% |
563
6.73 IPS |
|
|
Depth Estimation (SP)
|
100% |
447
3.44 IPS |
|
|
Depth Estimation (HP)
|
99% |
450
3.47 IPS |
|
|
Depth Estimation (Q)
|
64% |
464
4.25 IPS |
|
|
Style Transfer (SP)
|
89% |
860
1.12 IPS |
|
|
Style Transfer (HP)
|
89% |
873
1.13 IPS |
|
|
Style Transfer (Q)
|
98% |
1062
1.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
234
8.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
237
8.74 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
257
9.51 IPS |
|
|
Text Classification (SP)
|
100% |
126
167.8 IPS |
|
|
Text Classification (HP)
|
100% |
123
164.4 IPS |
|
|
Text Classification (Q)
|
88% |
198
267.0 IPS |
|
|
Machine Translation (SP)
|
100% |
233
4.02 IPS |
|
|
Machine Translation (HP)
|
100% |
231
3.98 IPS |
|
|
Machine Translation (Q)
|
50% |
153
5.44 IPS |
