Xiaomi Poco F5
Geekbench AI Score
234
Single Precision Score
235
Half Precision Score
550
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Varuchi |
| Upload Date | June 05 2025 04:20 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
135
25.1 IPS |
|
|
Image Classification (HP)
|
100% |
137
25.5 IPS |
|
|
Image Classification (Q)
|
99% |
361
67.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
178
2.88 IPS |
|
|
Image Segmentation (HP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
390
6.33 IPS |
|
|
Pose Estimation (SP)
|
100% |
247
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
247
0.29 IPS |
|
|
Pose Estimation (Q)
|
98% |
940
1.10 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (Q)
|
87% |
389
31.2 IPS |
|
|
Face Detection (SP)
|
100% |
359
4.26 IPS |
|
|
Face Detection (HP)
|
100% |
361
4.29 IPS |
|
|
Face Detection (Q)
|
97% |
789
9.41 IPS |
|
|
Depth Estimation (SP)
|
100% |
310
2.39 IPS |
|
|
Depth Estimation (HP)
|
99% |
310
2.39 IPS |
|
|
Depth Estimation (Q)
|
64% |
749
6.80 IPS |
|
|
Style Transfer (SP)
|
100% |
547
0.70 IPS |
|
|
Style Transfer (HP)
|
100% |
553
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
1481
1.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
153
5.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
154
5.69 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
545
20.2 IPS |
|
|
Text Classification (SP)
|
100% |
199
265.5 IPS |
|
|
Text Classification (HP)
|
100% |
200
266.9 IPS |
|
|
Text Classification (Q)
|
91% |
355
477.6 IPS |
|
|
Machine Translation (SP)
|
100% |
332
5.71 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (Q)
|
57% |
293
7.16 IPS |
