Xiaomi 23127PN0CG
Geekbench AI Score
2279
Single Precision Score
2210
Half Precision Score
3320
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | DemonShell |
| Upload Date | January 31 2025 09:48 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 23127PN0CG |
| Model ID | Xiaomi 23127PN0CG |
| 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 | 10.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2031
377.8 IPS |
|
|
Image Classification (HP)
|
100% |
1732
322.1 IPS |
|
|
Image Classification (Q)
|
100% |
2963
551.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
2213
35.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2233
36.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
3265
53.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3991
4.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
3957
4.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
8923
10.6 IPS |
|
|
Object Detection (SP)
|
98% |
1781
141.7 IPS |
|
|
Object Detection (HP)
|
98% |
1784
142.0 IPS |
|
|
Object Detection (Q)
|
83% |
2528
204.2 IPS |
|
|
Face Detection (SP)
|
100% |
3754
44.6 IPS |
|
|
Face Detection (HP)
|
100% |
3758
44.7 IPS |
|
|
Face Detection (Q)
|
95% |
5828
69.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
3832
29.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
3313
25.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5121
46.9 IPS |
|
|
Style Transfer (SP)
|
89% |
8107
10.5 IPS |
|
|
Style Transfer (HP)
|
89% |
8102
10.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15092
19.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1620
59.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1613
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3723
138.0 IPS |
|
|
Text Classification (SP)
|
100% |
677
903.7 IPS |
|
|
Text Classification (HP)
|
99% |
663
884.6 IPS |
|
|
Text Classification (Q)
|
88% |
991
1.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
928
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
449
15.9 IPS |
