Xiaomi 23078PND5G
Geekbench AI Score
1659
Single Precision Score
1688
Half Precision Score
2421
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | Papst |
| Upload Date | November 06 2024 03:58 PM |
| Views | 22 |
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% |
1327
246.8 IPS |
|
|
Image Classification (HP)
|
100% |
1245
231.5 IPS |
|
|
Image Classification (Q)
|
100% |
2021
375.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1300
21.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1267
20.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2031
33.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2643
3.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
2620
3.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
5613
6.66 IPS |
|
|
Object Detection (SP)
|
98% |
1188
94.6 IPS |
|
|
Object Detection (HP)
|
98% |
1283
102.1 IPS |
|
|
Object Detection (Q)
|
83% |
1462
118.1 IPS |
|
|
Face Detection (SP)
|
100% |
2482
29.5 IPS |
|
|
Face Detection (HP)
|
100% |
2485
29.5 IPS |
|
|
Face Detection (Q)
|
95% |
3145
37.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2227
17.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2410
18.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
4362
40.0 IPS |
|
|
Style Transfer (SP)
|
89% |
5523
7.17 IPS |
|
|
Style Transfer (HP)
|
89% |
5642
7.32 IPS |
|
|
Style Transfer (Q)
|
98% |
11429
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1112
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1193
44.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2824
104.6 IPS |
|
|
Text Classification (SP)
|
100% |
595
794.7 IPS |
|
|
Text Classification (HP)
|
99% |
585
780.6 IPS |
|
|
Text Classification (Q)
|
88% |
714
963.1 IPS |
|
|
Machine Translation (SP)
|
100% |
1448
24.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1508
26.0 IPS |
|
|
Machine Translation (Q)
|
50% |
650
23.1 IPS |
