Xiaomi Poco F1
Geekbench AI Score
193
Single Precision Score
118
Half Precision Score
152
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 09 2024 02:48 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Qualcomm Snapdragon 845 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi Poco F1 |
| Model ID | Xiaomi POCO F1 |
| Motherboard | sdm845 |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 6 part 2050 revision 13 |
| Base Frequency | 1.77 GHz |
| Cluster 1 | 4 Cores @ 1.77 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Memory Information | |
|---|---|
| Size | 5.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
235
43.7 IPS |
|
|
Image Classification (HP)
|
100% |
69
12.8 IPS |
|
|
Image Classification (Q)
|
99% |
112
20.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
95
1.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
93
1.51 IPS |
|
|
Image Segmentation (Q)
|
98% |
127
2.07 IPS |
|
|
Pose Estimation (SP)
|
100% |
953
1.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
2276
2.66 IPS |
|
|
Pose Estimation (Q)
|
98% |
116
0.14 IPS |
|
|
Object Detection (SP)
|
100% |
35
2.79 IPS |
|
|
Object Detection (HP)
|
100% |
35
2.80 IPS |
|
|
Object Detection (Q)
|
87% |
55
4.43 IPS |
|
|
Face Detection (SP)
|
100% |
768
9.12 IPS |
|
|
Face Detection (HP)
|
100% |
96
1.14 IPS |
|
|
Face Detection (Q)
|
97% |
128
1.53 IPS |
|
|
Depth Estimation (SP)
|
99% |
189
1.46 IPS |
|
|
Depth Estimation (HP)
|
99% |
85
0.65 IPS |
|
|
Depth Estimation (Q)
|
64% |
113
1.03 IPS |
|
|
Style Transfer (SP)
|
100% |
229
0.29 IPS |
|
|
Style Transfer (HP)
|
100% |
228
0.29 IPS |
|
|
Style Transfer (Q)
|
98% |
401
0.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
314
11.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
60
2.21 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1855
68.7 IPS |
|
|
Text Classification (SP)
|
100% |
72
95.9 IPS |
|
|
Text Classification (HP)
|
100% |
72
96.2 IPS |
|
|
Text Classification (Q)
|
91% |
81
109.3 IPS |
|
|
Machine Translation (SP)
|
100% |
130
2.24 IPS |
|
|
Machine Translation (HP)
|
100% |
129
2.22 IPS |
|
|
Machine Translation (Q)
|
57% |
84
2.05 IPS |
