Xiaomi 23078PND5G
Geekbench AI Score
521
Single Precision Score
2311
Half Precision Score
3243
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Papst |
| Upload Date | October 17 2024 03:16 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 23078PND5G |
| Model ID | Xiaomi 23078PND5G |
| Motherboard | corot |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 4 Cores @ 2.00 GHz |
| Cluster 2 | 3 Cores @ 3.00 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 11.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
719
133.7 IPS |
|
|
Image Classification (HP)
|
100% |
2553
474.8 IPS |
|
|
Image Classification (Q)
|
99% |
6359
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
396
6.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
2541
41.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1256
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2898
3.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
8102
9.45 IPS |
|
|
Pose Estimation (Q)
|
95% |
32970
38.6 IPS |
|
|
Object Detection (SP)
|
100% |
480
38.1 IPS |
|
|
Object Detection (HP)
|
100% |
2290
181.6 IPS |
|
|
Object Detection (Q)
|
86% |
3628
291.8 IPS |
|
|
Face Detection (SP)
|
28% |
100
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
6913
82.1 IPS |
|
|
Face Detection (Q)
|
97% |
10131
120.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
855
6.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
9940
76.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
23106
219.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2046
2.63 IPS |
|
|
Style Transfer (HP)
|
100% |
661
0.85 IPS |
|
|
Style Transfer (Q)
|
30% |
412
6.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1169
43.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5332
196.9 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
4261
620.6 IPS |
|
|
Text Classification (SP)
|
100% |
66
88.6 IPS |
|
|
Text Classification (HP)
|
100% |
331
441.6 IPS |
|
|
Text Classification (Q)
|
93% |
958
1.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (HP)
|
100% |
452
7.79 IPS |
|
|
Machine Translation (Q)
|
60% |
343
7.73 IPS |
