Xiaomi 25019PNF3C
Geekbench AI Score
2230
Single Precision Score
2216
Half Precision Score
4108
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | August 18 2025 05:08 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Xiaomi 25019PNF3C |
| Model ID | Xiaomi 25019PNF3C |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.76 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1656
308.0 IPS |
|
|
Image Classification (HP)
|
100% |
1685
313.3 IPS |
|
|
Image Classification (Q)
|
100% |
4007
745.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1913
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1969
31.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4781
77.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4201
4.90 IPS |
|
|
Pose Estimation (HP)
|
100% |
4160
4.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
10268
12.2 IPS |
|
|
Object Detection (SP)
|
98% |
1349
107.3 IPS |
|
|
Object Detection (HP)
|
98% |
1263
100.5 IPS |
|
|
Object Detection (Q)
|
83% |
3044
245.9 IPS |
|
|
Face Detection (SP)
|
100% |
3713
44.1 IPS |
|
|
Face Detection (HP)
|
100% |
3551
42.2 IPS |
|
|
Face Detection (Q)
|
95% |
7875
94.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
3709
28.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3514
27.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
7857
72.0 IPS |
|
|
Style Transfer (SP)
|
89% |
9008
11.7 IPS |
|
|
Style Transfer (HP)
|
89% |
9442
12.3 IPS |
|
|
Style Transfer (Q)
|
98% |
16798
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1709
63.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
4992
185.0 IPS |
|
|
Text Classification (SP)
|
100% |
778
1.04 KIPS |
|
|
Text Classification (HP)
|
99% |
790
1.06 KIPS |
|
|
Text Classification (Q)
|
88% |
928
1.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
1039
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1031
17.8 IPS |
|
|
Machine Translation (Q)
|
50% |
475
16.9 IPS |
