Xiaomi Poco F5 Pro
Geekbench AI Score
1291
Single Precision Score
1284
Half Precision Score
2890
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 05:26 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 8+ Gen 1 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi Poco F5 Pro |
| Model ID | Xiaomi 23013PC75G |
| Motherboard | taro |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 2 part 3400 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 3 Cores @ 2.50 GHz |
| Cluster 3 | 1 Core @ 3.00 GHz |
| Memory Information | |
|---|---|
| Size | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
605
112.6 IPS |
|
|
Image Classification (HP)
|
100% |
616
114.6 IPS |
|
|
Image Classification (Q)
|
100% |
2231
414.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
774
12.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
776
12.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2423
39.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2903
3.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
2752
3.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
6147
7.29 IPS |
|
|
Object Detection (SP)
|
100% |
554
43.9 IPS |
|
|
Object Detection (HP)
|
100% |
553
43.9 IPS |
|
|
Object Detection (Q)
|
83% |
1829
147.7 IPS |
|
|
Face Detection (SP)
|
100% |
1867
22.2 IPS |
|
|
Face Detection (HP)
|
100% |
1862
22.1 IPS |
|
|
Face Detection (Q)
|
95% |
4371
52.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2473
19.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2489
19.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4834
44.3 IPS |
|
|
Style Transfer (SP)
|
89% |
4444
5.77 IPS |
|
|
Style Transfer (HP)
|
89% |
4429
5.75 IPS |
|
|
Style Transfer (Q)
|
98% |
12726
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1390
51.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1392
51.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3199
118.5 IPS |
|
|
Text Classification (SP)
|
100% |
612
817.4 IPS |
|
|
Text Classification (HP)
|
100% |
611
815.4 IPS |
|
|
Text Classification (Q)
|
88% |
1124
1.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
980
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
963
16.6 IPS |
|
|
Machine Translation (Q)
|
50% |
693
24.6 IPS |
