Xiaomi 23127PN0CG
Geekbench AI Score
880
Single Precision Score
1308
Half Precision Score
1232
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 19 2024 08:58 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 10.94 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
677
126.0 IPS |
|
|
Image Classification (HP)
|
100% |
763
141.9 IPS |
|
|
Image Classification (Q)
|
96% |
575
107.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1176
19.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1190
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1022
1.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2139
2.50 IPS |
|
|
Pose Estimation (Q)
|
96% |
2122
2.49 IPS |
|
|
Object Detection (SP)
|
100% |
610
48.4 IPS |
|
|
Object Detection (HP)
|
100% |
724
57.4 IPS |
|
|
Object Detection (Q)
|
87% |
901
72.4 IPS |
|
|
Face Detection (SP)
|
100% |
2387
28.4 IPS |
|
|
Face Detection (HP)
|
100% |
3290
39.1 IPS |
|
|
Face Detection (Q)
|
97% |
2565
30.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1652
12.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3234
25.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
2680
24.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5710
7.34 IPS |
|
|
Style Transfer (HP)
|
100% |
9262
11.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9179
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
429
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1304
48.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1263
46.8 IPS |
|
|
Text Classification (SP)
|
100% |
181
241.7 IPS |
|
|
Text Classification (HP)
|
100% |
181
241.2 IPS |
|
|
Text Classification (Q)
|
91% |
295
395.9 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (HP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (Q)
|
57% |
264
6.45 IPS |
