Xiaomi Poco X6 Pro
Geekbench AI Score
867
Single Precision Score
4665
Half Precision Score
4642
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 11 2025 01:55 AM |
| Views | 3 |
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% |
712
132.4 IPS |
|
|
Image Classification (HP)
|
100% |
4248
790.0 IPS |
|
|
Image Classification (Q)
|
99% |
7780
1.45 KIPS |
|
|
Image Segmentation (SP)
|
100% |
581
9.41 IPS |
|
|
Image Segmentation (HP)
|
100% |
4340
70.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1794
29.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6081
7.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
17609
20.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
72375
84.8 IPS |
|
|
Object Detection (SP)
|
100% |
495
39.2 IPS |
|
|
Object Detection (HP)
|
100% |
4367
346.4 IPS |
|
|
Object Detection (Q)
|
86% |
5078
408.4 IPS |
|
|
Face Detection (SP)
|
100% |
2140
25.4 IPS |
|
|
Face Detection (HP)
|
100% |
10616
126.1 IPS |
|
|
Face Detection (Q)
|
97% |
11163
133.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
816
6.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
18940
145.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
30713
291.7 IPS |
|
|
Style Transfer (SP)
|
100% |
2526
3.25 IPS |
|
|
Style Transfer (HP)
|
100% |
672
0.86 IPS |
|
|
Style Transfer (Q)
|
30% |
515
7.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1623
59.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10269
379.2 IPS |
|
|
Image Super-Resolution (Q)
|
41% |
7396
1.08 KIPS |
|
|
Text Classification (SP)
|
100% |
89
118.8 IPS |
|
|
Text Classification (HP)
|
100% |
1736
2.32 KIPS |
|
|
Text Classification (Q)
|
93% |
1733
2.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (HP)
|
100% |
1431
24.6 IPS |
|
|
Machine Translation (Q)
|
60% |
401
9.03 IPS |
