Xiaomi Poco X6 Pro
Geekbench AI Score
764
Single Precision Score
1092
Half Precision Score
921
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | LEFTERIS733 |
| Upload Date | August 01 2025 07:25 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
314
58.4 IPS |
|
|
Image Classification (HP)
|
100% |
564
104.9 IPS |
|
|
Image Classification (Q)
|
97% |
485
90.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
924
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1424
23.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1347
21.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3714
4.33 IPS |
|
|
Pose Estimation (HP)
|
100% |
6401
7.47 IPS |
|
|
Pose Estimation (Q)
|
95% |
6380
7.48 IPS |
|
|
Object Detection (SP)
|
100% |
349
27.7 IPS |
|
|
Object Detection (HP)
|
99% |
567
45.0 IPS |
|
|
Object Detection (Q)
|
83% |
666
53.8 IPS |
|
|
Face Detection (SP)
|
100% |
1864
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
2470
29.3 IPS |
|
|
Face Detection (Q)
|
96% |
2197
26.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2088
16.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3409
26.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
2761
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
5827
7.49 IPS |
|
|
Style Transfer (HP)
|
100% |
10690
13.7 IPS |
|
|
Style Transfer (Q)
|
98% |
10712
13.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1234
45.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2166
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1932
71.6 IPS |
|
|
Text Classification (SP)
|
35% |
16
142.2 IPS |
|
|
Text Classification (HP)
|
29% |
8
145.8 IPS |
|
|
Text Classification (Q)
|
32% |
11
138.7 IPS |
|
|
Machine Translation (SP)
|
100% |
406
6.99 IPS |
|
|
Machine Translation (HP)
|
100% |
531
9.15 IPS |
|
|
Machine Translation (Q)
|
43% |
115
6.70 IPS |
