Xiaomi 23127PN0CC
Geekbench AI Score
876
Single Precision Score
1290
Half Precision Score
1184
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 08:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.91 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
560
104.1 IPS |
|
|
Image Classification (HP)
|
100% |
597
111.0 IPS |
|
|
Image Classification (Q)
|
96% |
498
93.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1164
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1040
16.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1023
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2142
2.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
2117
2.48 IPS |
|
|
Object Detection (SP)
|
100% |
668
53.0 IPS |
|
|
Object Detection (HP)
|
100% |
958
76.0 IPS |
|
|
Object Detection (Q)
|
87% |
952
76.5 IPS |
|
|
Face Detection (SP)
|
100% |
2405
28.6 IPS |
|
|
Face Detection (HP)
|
100% |
3142
37.3 IPS |
|
|
Face Detection (Q)
|
97% |
1886
22.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1595
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3245
25.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2703
25.1 IPS |
|
|
Style Transfer (SP)
|
100% |
5704
7.33 IPS |
|
|
Style Transfer (HP)
|
100% |
9292
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9100
11.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
421
15.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1333
49.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1293
47.9 IPS |
|
|
Text Classification (SP)
|
100% |
191
255.4 IPS |
|
|
Text Classification (HP)
|
100% |
191
255.2 IPS |
|
|
Text Classification (Q)
|
91% |
310
416.7 IPS |
|
|
Machine Translation (SP)
|
100% |
340
5.86 IPS |
|
|
Machine Translation (HP)
|
100% |
340
5.86 IPS |
|
|
Machine Translation (Q)
|
57% |
279
6.82 IPS |
