Xiaomi Poco F5 Pro
Geekbench AI Score
1175
Single Precision Score
1243
Half Precision Score
2858
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | May 10 2025 04:23 PM |
| Views | 4 |
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% |
285
52.9 IPS |
|
|
Image Classification (HP)
|
100% |
549
102.2 IPS |
|
|
Image Classification (Q)
|
100% |
2053
381.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
709
11.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
711
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2249
36.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2727
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2736
3.19 IPS |
|
|
Pose Estimation (Q)
|
84% |
5905
7.00 IPS |
|
|
Object Detection (SP)
|
100% |
551
43.7 IPS |
|
|
Object Detection (HP)
|
100% |
552
43.8 IPS |
|
|
Object Detection (Q)
|
83% |
1997
161.3 IPS |
|
|
Face Detection (SP)
|
100% |
1858
22.1 IPS |
|
|
Face Detection (HP)
|
100% |
1679
20.0 IPS |
|
|
Face Detection (Q)
|
95% |
4445
53.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2469
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2484
19.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4815
44.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4440
5.76 IPS |
|
|
Style Transfer (HP)
|
89% |
4436
5.76 IPS |
|
|
Style Transfer (Q)
|
98% |
12728
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1383
51.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1383
51.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3192
118.3 IPS |
|
|
Text Classification (SP)
|
100% |
609
812.8 IPS |
|
|
Text Classification (HP)
|
100% |
609
813.5 IPS |
|
|
Text Classification (Q)
|
88% |
1117
1.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
971
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
959
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
689
24.5 IPS |
