Xiaomi Poco X6 Pro
Geekbench AI Score
939
Single Precision Score
4676
Half Precision Score
4730
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 20 2026 04:59 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | MediaTek Dimensity 8300 Ultra |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 11.08 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
718
133.5 IPS |
|
|
Image Classification (HP)
|
100% |
4167
774.9 IPS |
|
|
Image Classification (Q)
|
99% |
8051
1.50 KIPS |
|
|
Image Segmentation (SP)
|
100% |
581
9.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
4228
68.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1797
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6118
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
17570
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
71261
83.5 IPS |
|
|
Object Detection (SP)
|
100% |
567
45.0 IPS |
|
|
Object Detection (HP)
|
100% |
4317
342.4 IPS |
|
|
Object Detection (Q)
|
86% |
5280
424.7 IPS |
|
|
Face Detection (SP)
|
100% |
2559
30.4 IPS |
|
|
Face Detection (HP)
|
100% |
10660
126.7 IPS |
|
|
Face Detection (Q)
|
97% |
11201
133.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
861
6.64 IPS |
|
|
Depth Estimation (HP)
|
99% |
19108
147.2 IPS |
|
|
Depth Estimation (Q)
|
62% |
31097
295.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2862
3.68 IPS |
|
|
Style Transfer (HP)
|
100% |
702
0.90 IPS |
|
|
Style Transfer (Q)
|
30% |
536
8.08 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1951
72.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10323
381.2 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7455
1.09 KIPS |
|
|
Text Classification (SP)
|
100% |
93
123.6 IPS |
|
|
Text Classification (HP)
|
100% |
1811
2.42 KIPS |
|
|
Text Classification (Q)
|
93% |
1816
2.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
323
5.57 IPS |
|
|
Machine Translation (HP)
|
100% |
1401
24.1 IPS |
|
|
Machine Translation (Q)
|
60% |
408
9.19 IPS |
