Xiaomi 23078PND5G
Geekbench AI Score
1523
Single Precision Score
1391
Half Precision Score
2181
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | Papst |
| Upload Date | September 05 2024 03:06 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1273
236.8 IPS |
|
|
Image Classification (HP)
|
100% |
1162
216.2 IPS |
|
|
Image Classification (Q)
|
100% |
1634
303.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1309
21.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
948
15.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1722
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2225
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2237
2.61 IPS |
|
|
Pose Estimation (Q)
|
84% |
5419
6.43 IPS |
|
|
Object Detection (SP)
|
98% |
1175
93.5 IPS |
|
|
Object Detection (HP)
|
98% |
1212
96.5 IPS |
|
|
Object Detection (Q)
|
87% |
2136
171.5 IPS |
|
|
Face Detection (SP)
|
100% |
3002
35.7 IPS |
|
|
Face Detection (HP)
|
100% |
2341
27.8 IPS |
|
|
Face Detection (Q)
|
95% |
3130
37.4 IPS |
|
|
Depth Estimation (SP)
|
98% |
2063
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1821
14.1 IPS |
|
|
Depth Estimation (Q)
|
75% |
3514
28.5 IPS |
|
|
Style Transfer (SP)
|
89% |
4930
6.40 IPS |
|
|
Style Transfer (HP)
|
89% |
4557
5.92 IPS |
|
|
Style Transfer (Q)
|
98% |
9895
12.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
890
32.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
899
33.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2064
76.5 IPS |
|
|
Text Classification (SP)
|
100% |
454
606.6 IPS |
|
|
Text Classification (HP)
|
99% |
420
560.6 IPS |
|
|
Text Classification (Q)
|
88% |
710
958.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1256
21.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1239
21.3 IPS |
|
|
Machine Translation (Q)
|
50% |
470
16.7 IPS |
