Xiaomi 25019PNF3C
Geekbench AI Score
589
Single Precision Score
21901
Half Precision Score
51680
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | zxhsean |
| Upload Date | March 08 2025 04:26 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| 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% |
431
80.1 IPS |
|
|
Image Classification (HP)
|
100% |
16598
3.09 KIPS |
|
|
Image Classification (Q)
|
97% |
45058
8.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
522
8.45 IPS |
|
|
Image Segmentation (HP)
|
100% |
12980
210.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
38571
627.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
678
0.79 IPS |
|
|
Pose Estimation (HP)
|
100% |
84101
98.1 IPS |
|
|
Pose Estimation (Q)
|
98% |
331459
388.0 IPS |
|
|
Object Detection (SP)
|
100% |
405
32.1 IPS |
|
|
Object Detection (HP)
|
100% |
15233
1.21 KIPS |
|
|
Object Detection (Q)
|
85% |
19069
1.53 KIPS |
|
|
Face Detection (SP)
|
100% |
761
9.05 IPS |
|
|
Face Detection (HP)
|
100% |
33776
401.3 IPS |
|
|
Face Detection (Q)
|
97% |
127338
1.52 KIPS |
|
|
Depth Estimation (SP)
|
100% |
855
6.59 IPS |
|
|
Depth Estimation (HP)
|
99% |
64668
498.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
121346
1.12 KIPS |
|
|
Style Transfer (SP)
|
100% |
1172
1.51 IPS |
|
|
Style Transfer (HP)
|
98% |
78642
101.4 IPS |
|
|
Style Transfer (Q)
|
98% |
387919
500.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
339
12.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41885
1.55 KIPS |
|
|
Image Super-Resolution (Q)
|
97% |
111093
4.12 KIPS |
|
|
Text Classification (SP)
|
100% |
429
572.7 IPS |
|
|
Text Classification (HP)
|
100% |
3209
4.28 KIPS |
|
|
Text Classification (Q)
|
93% |
7006
9.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
743
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3985
68.6 IPS |
|
|
Machine Translation (Q)
|
56% |
2652
68.3 IPS |
