Xiaomi Poco F5
Geekbench AI Score
1042
Single Precision Score
1042
Half Precision Score
2365
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Varuchi |
| Upload Date | June 03 2025 09:01 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 7+ Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi Poco F5 |
| Model ID | Xiaomi 23049PCD8G |
| Motherboard | marble |
| 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 @ 2.92 GHz |
| Memory Information | |
|---|---|
| Size | 7.01 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
600
111.7 IPS |
|
|
Image Classification (HP)
|
100% |
567
105.5 IPS |
|
|
Image Classification (Q)
|
100% |
2211
411.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
738
12.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
740
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2156
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2306
2.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
2304
2.69 IPS |
|
|
Pose Estimation (Q)
|
84% |
5005
5.94 IPS |
|
|
Object Detection (SP)
|
100% |
442
35.1 IPS |
|
|
Object Detection (HP)
|
100% |
450
35.7 IPS |
|
|
Object Detection (Q)
|
83% |
1649
133.2 IPS |
|
|
Face Detection (SP)
|
100% |
1552
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
1567
18.6 IPS |
|
|
Face Detection (Q)
|
95% |
3547
42.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
2109
16.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2120
16.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3934
36.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3726
4.84 IPS |
|
|
Style Transfer (HP)
|
89% |
3705
4.81 IPS |
|
|
Style Transfer (Q)
|
98% |
10068
13.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
976
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
972
35.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2006
74.3 IPS |
|
|
Text Classification (SP)
|
100% |
397
530.5 IPS |
|
|
Text Classification (HP)
|
100% |
425
566.9 IPS |
|
|
Text Classification (Q)
|
88% |
857
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
708
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
685
11.8 IPS |
|
|
Machine Translation (Q)
|
50% |
577
20.5 IPS |
