Xiaomi Poco F5
Geekbench AI Score
236
Single Precision Score
236
Half Precision Score
24652
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | paz_levi |
| Upload Date | August 30 2025 07:18 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | Qualcomm Snapdragon 7+ Gen 2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 10.90 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
135
25.1 IPS |
|
|
Image Classification (HP)
|
100% |
136
25.3 IPS |
|
|
Image Classification (Q)
|
99% |
20310
3.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
179
2.90 IPS |
|
|
Image Segmentation (HP)
|
100% |
180
2.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
17324
281.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
248
0.29 IPS |
|
|
Pose Estimation (Q)
|
94% |
149511
175.3 IPS |
|
|
Object Detection (SP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (HP)
|
100% |
137
10.9 IPS |
|
|
Object Detection (Q)
|
88% |
11245
900.8 IPS |
|
|
Face Detection (SP)
|
100% |
363
4.32 IPS |
|
|
Face Detection (HP)
|
100% |
368
4.37 IPS |
|
|
Face Detection (Q)
|
97% |
54723
652.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
313
2.41 IPS |
|
|
Depth Estimation (HP)
|
99% |
315
2.43 IPS |
|
|
Depth Estimation (Q)
|
64% |
52822
486.3 IPS |
|
|
Style Transfer (SP)
|
100% |
554
0.71 IPS |
|
|
Style Transfer (HP)
|
100% |
551
0.71 IPS |
|
|
Style Transfer (Q)
|
98% |
181927
234.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
155
5.72 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
155
5.72 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
55160
2.04 KIPS |
|
|
Text Classification (SP)
|
100% |
199
266.2 IPS |
|
|
Text Classification (HP)
|
100% |
199
266.2 IPS |
|
|
Text Classification (Q)
|
94% |
4329
5.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
345
5.94 IPS |
|
|
Machine Translation (HP)
|
100% |
337
5.81 IPS |
|
|
Machine Translation (Q)
|
50% |
1116
38.6 IPS |
