Xiaomi 23127PN0CC
Geekbench AI Score
212
Single Precision Score
213
Half Precision Score
476
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | HowieZhang |
| Upload Date | August 16 2024 04:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23127PN0CC |
| Model ID | Xiaomi 23127PN0CC |
| Motherboard | houji |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.26 GHz |
| Cluster 1 | 2 Cores @ 2.27 GHz |
| Cluster 2 | 2 Cores @ 2.96 GHz |
| Cluster 3 | 3 Cores @ 3.15 GHz |
| Cluster 4 | 1 Core @ 3.30 GHz |
| Memory Information | |
|---|---|
| Size | 14.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (HP)
|
100% |
122
22.7 IPS |
|
|
Image Classification (Q)
|
97% |
301
56.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (HP)
|
100% |
164
2.66 IPS |
|
|
Image Segmentation (Q)
|
98% |
321
5.22 IPS |
|
|
Pose Estimation (SP)
|
100% |
213
0.25 IPS |
|
|
Pose Estimation (HP)
|
100% |
212
0.25 IPS |
|
|
Pose Estimation (Q)
|
98% |
796
0.93 IPS |
|
|
Object Detection (SP)
|
100% |
120
9.52 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.89 IPS |
|
|
Object Detection (Q)
|
89% |
363
29.1 IPS |
|
|
Face Detection (SP)
|
100% |
363
4.31 IPS |
|
|
Face Detection (HP)
|
100% |
366
4.34 IPS |
|
|
Face Detection (Q)
|
97% |
693
8.27 IPS |
|
|
Depth Estimation (SP)
|
100% |
287
2.21 IPS |
|
|
Depth Estimation (HP)
|
100% |
288
2.22 IPS |
|
|
Depth Estimation (Q)
|
73% |
714
5.84 IPS |
|
|
Style Transfer (SP)
|
100% |
519
0.67 IPS |
|
|
Style Transfer (HP)
|
100% |
518
0.67 IPS |
|
|
Style Transfer (Q)
|
98% |
1426
1.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
135
5.00 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
135
5.00 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
457
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.3 IPS |
|
|
Text Classification (HP)
|
100% |
166
221.2 IPS |
|
|
Text Classification (Q)
|
91% |
271
364.3 IPS |
|
|
Machine Translation (SP)
|
100% |
302
5.20 IPS |
|
|
Machine Translation (HP)
|
100% |
303
5.22 IPS |
|
|
Machine Translation (Q)
|
57% |
245
5.99 IPS |
