Xiaomi Poco F6
Geekbench AI Score
357
Single Precision Score
357
Half Precision Score
24510
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 15 2025 01:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 8s Gen 3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi Poco F6 |
| Model ID | Xiaomi 24069PC21G |
| Motherboard | peridot |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.06 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
228
42.4 IPS |
|
|
Image Classification (HP)
|
100% |
229
42.6 IPS |
|
|
Image Classification (Q)
|
97% |
22833
4.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
294
4.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
16770
272.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
402
0.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
377
0.44 IPS |
|
|
Pose Estimation (Q)
|
98% |
120105
140.6 IPS |
|
|
Object Detection (SP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
209
16.6 IPS |
|
|
Object Detection (Q)
|
86% |
10324
830.1 IPS |
|
|
Face Detection (SP)
|
100% |
514
6.11 IPS |
|
|
Face Detection (HP)
|
100% |
518
6.16 IPS |
|
|
Face Detection (Q)
|
97% |
57215
682.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
455
3.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
456
3.52 IPS |
|
|
Depth Estimation (Q)
|
63% |
52886
495.2 IPS |
|
|
Style Transfer (SP)
|
100% |
757
0.97 IPS |
|
|
Style Transfer (HP)
|
100% |
761
0.98 IPS |
|
|
Style Transfer (Q)
|
98% |
172874
222.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
227
8.37 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
229
8.46 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
47572
1.76 KIPS |
|
|
Text Classification (SP)
|
100% |
309
411.8 IPS |
|
|
Text Classification (HP)
|
100% |
309
413.0 IPS |
|
|
Text Classification (Q)
|
93% |
4741
6.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
500
8.61 IPS |
|
|
Machine Translation (HP)
|
100% |
503
8.66 IPS |
|
|
Machine Translation (Q)
|
55% |
1397
36.6 IPS |
