Xiaomi 23078PND5G
Geekbench AI Score
1528
Single Precision Score
1565
Half Precision Score
2418
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Papst |
| Upload Date | September 18 2024 02:26 AM |
| Views | 10 |
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% |
1244
231.4 IPS |
|
|
Image Classification (HP)
|
100% |
883
164.2 IPS |
|
|
Image Classification (Q)
|
100% |
1590
295.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1337
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1332
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2054
33.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2196
2.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
2335
2.72 IPS |
|
|
Pose Estimation (Q)
|
84% |
5509
6.53 IPS |
|
|
Object Detection (SP)
|
98% |
778
61.9 IPS |
|
|
Object Detection (HP)
|
98% |
1051
83.6 IPS |
|
|
Object Detection (Q)
|
83% |
1720
138.9 IPS |
|
|
Face Detection (SP)
|
100% |
2021
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
2672
31.7 IPS |
|
|
Face Detection (Q)
|
95% |
3988
47.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2300
17.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2259
17.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
4257
39.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5582
7.25 IPS |
|
|
Style Transfer (HP)
|
89% |
5479
7.11 IPS |
|
|
Style Transfer (Q)
|
98% |
11508
14.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1122
41.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1110
41.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2522
93.4 IPS |
|
|
Text Classification (SP)
|
100% |
606
809.1 IPS |
|
|
Text Classification (HP)
|
99% |
604
806.8 IPS |
|
|
Text Classification (Q)
|
88% |
717
967.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1393
24.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1380
23.8 IPS |
|
|
Machine Translation (Q)
|
50% |
626
22.2 IPS |
