Xiaomi Poco X6 Pro
Geekbench AI Score
747
Single Precision Score
4269
Half Precision Score
4188
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 11:33 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | MediaTek Dimensity 8300 Ultra |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi Poco X6 Pro |
| Model ID | Xiaomi 2311DRK48G |
| Motherboard | duchamp |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3405 revision 0 |
| Base Frequency | 2.20 GHz |
| Cluster 1 | 4 Cores @ 2.20 GHz |
| Cluster 2 | 3 Cores @ 3.20 GHz |
| Cluster 3 | 1 Core @ 3.35 GHz |
| Memory Information | |
|---|---|
| Size | 7.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
619
115.1 IPS |
|
|
Image Classification (HP)
|
100% |
3839
713.9 IPS |
|
|
Image Classification (Q)
|
99% |
7463
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
561
9.10 IPS |
|
|
Image Segmentation (HP)
|
100% |
4044
65.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1776
28.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
5768
6.73 IPS |
|
|
Pose Estimation (HP)
|
100% |
17647
20.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
71166
83.4 IPS |
|
|
Object Detection (SP)
|
100% |
437
34.7 IPS |
|
|
Object Detection (HP)
|
100% |
4111
326.1 IPS |
|
|
Object Detection (Q)
|
86% |
4772
383.9 IPS |
|
|
Face Detection (SP)
|
100% |
1939
23.0 IPS |
|
|
Face Detection (HP)
|
100% |
9983
118.6 IPS |
|
|
Face Detection (Q)
|
97% |
10823
129.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
661
5.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
18382
141.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
30459
289.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2200
2.83 IPS |
|
|
Style Transfer (HP)
|
100% |
527
0.68 IPS |
|
|
Style Transfer (Q)
|
30% |
363
5.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1430
52.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9712
358.6 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
6770
986.1 IPS |
|
|
Text Classification (SP)
|
100% |
64
86.1 IPS |
|
|
Text Classification (HP)
|
100% |
1447
1.93 KIPS |
|
|
Text Classification (Q)
|
93% |
1438
1.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
242
4.16 IPS |
|
|
Machine Translation (HP)
|
100% |
1316
22.7 IPS |
|
|
Machine Translation (Q)
|
60% |
317
7.14 IPS |
