Xiaomi 23078PND5G
Geekbench AI Score
563
Single Precision Score
2309
Half Precision Score
3224
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Papst |
| Upload Date | October 17 2024 09:07 PM |
| Views | 7 |
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% |
720
133.8 IPS |
|
|
Image Classification (HP)
|
100% |
2575
478.9 IPS |
|
|
Image Classification (Q)
|
99% |
6323
1.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
395
6.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
2567
41.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1257
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2909
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
8123
9.48 IPS |
|
|
Pose Estimation (Q)
|
95% |
32939
38.6 IPS |
|
|
Object Detection (SP)
|
100% |
506
40.2 IPS |
|
|
Object Detection (HP)
|
100% |
2278
180.7 IPS |
|
|
Object Detection (Q)
|
86% |
3549
285.5 IPS |
|
|
Face Detection (SP)
|
28% |
100
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
6758
80.3 IPS |
|
|
Face Detection (Q)
|
97% |
10077
120.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
852
6.57 IPS |
|
|
Depth Estimation (HP)
|
99% |
9907
76.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
22963
218.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2057
2.64 IPS |
|
|
Style Transfer (HP)
|
100% |
659
0.85 IPS |
|
|
Style Transfer (Q)
|
30% |
417
6.29 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1208
44.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5322
196.5 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
4270
621.8 IPS |
|
|
Text Classification (SP)
|
100% |
112
149.9 IPS |
|
|
Text Classification (HP)
|
100% |
330
440.6 IPS |
|
|
Text Classification (Q)
|
93% |
950
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
328
5.65 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (Q)
|
60% |
334
7.52 IPS |
