Xiaomi Poco F4
Geekbench AI Score
412
Single Precision Score
648
Half Precision Score
673
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 29 2025 05:22 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Qualcomm Snapdragon 870 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi Poco F4 |
| Model ID | Xiaomi 22021211RG |
| Motherboard | munch |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3341 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.42 GHz |
| Cluster 3 | 1 Core @ 3.19 GHz |
| Memory Information | |
|---|---|
| Size | 5.48 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
291
54.1 IPS |
|
|
Image Classification (HP)
|
100% |
407
75.7 IPS |
|
|
Image Classification (Q)
|
97% |
408
76.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
364
5.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
602
9.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
701
11.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
560
0.65 IPS |
|
|
Pose Estimation (HP)
|
100% |
1118
1.30 IPS |
|
|
Pose Estimation (Q)
|
95% |
1111
1.30 IPS |
|
|
Object Detection (SP)
|
100% |
199
15.8 IPS |
|
|
Object Detection (HP)
|
100% |
232
18.4 IPS |
|
|
Object Detection (Q)
|
89% |
243
19.5 IPS |
|
|
Face Detection (SP)
|
100% |
680
8.08 IPS |
|
|
Face Detection (HP)
|
100% |
1175
14.0 IPS |
|
|
Face Detection (Q)
|
97% |
1130
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
656
5.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
1238
9.56 IPS |
|
|
Depth Estimation (Q)
|
62% |
1010
9.56 IPS |
|
|
Style Transfer (SP)
|
100% |
1264
1.62 IPS |
|
|
Style Transfer (HP)
|
100% |
3131
4.03 IPS |
|
|
Style Transfer (Q)
|
98% |
3120
4.02 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
302
11.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
625
23.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
608
22.5 IPS |
|
|
Text Classification (SP)
|
100% |
215
286.6 IPS |
|
|
Text Classification (HP)
|
100% |
215
286.9 IPS |
|
|
Text Classification (Q)
|
91% |
374
502.0 IPS |
|
|
Machine Translation (SP)
|
100% |
332
5.72 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (Q)
|
57% |
307
7.49 IPS |
