User | Astra |
Upload Date | May 13 2025 02:47 PM |
Views | 8 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | QNN |
Device | Qualcomm ARMv8 |
System Information | |
---|---|
Operating System | Android 15 |
Model | Xiaomi 24129PN74C |
Model ID | Xiaomi 24129PN74C |
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 |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
134
25.0 IPS |
|
Image Classification (HP)
|
100% |
14599
2.71 KIPS |
|
Image Classification (Q)
|
97% |
34585
6.45 KIPS |
|
Image Segmentation (SP)
|
100% |
256
4.16 IPS |
|
Image Segmentation (HP)
|
100% |
9393
152.3 IPS |
|
Image Segmentation (Q)
|
98% |
27638
449.4 IPS |
|
Pose Estimation (SP)
|
100% |
372
0.43 IPS |
|
Pose Estimation (HP)
|
100% |
82726
96.5 IPS |
|
Pose Estimation (Q)
|
98% |
325431
380.9 IPS |
|
Object Detection (SP)
|
100% |
206
16.3 IPS |
|
Object Detection (HP)
|
100% |
13182
1.05 KIPS |
|
Object Detection (Q)
|
85% |
14590
1.17 KIPS |
|
Face Detection (SP)
|
100% |
377
4.48 IPS |
|
Face Detection (HP)
|
100% |
28873
343.1 IPS |
|
Face Detection (Q)
|
97% |
94111
1.12 KIPS |
|
Depth Estimation (SP)
|
100% |
490
3.78 IPS |
|
Depth Estimation (HP)
|
99% |
62133
478.7 IPS |
|
Depth Estimation (Q)
|
63% |
112352
1.04 KIPS |
|
Style Transfer (SP)
|
100% |
848
1.09 IPS |
|
Style Transfer (HP)
|
98% |
73236
94.4 IPS |
|
Style Transfer (Q)
|
98% |
367900
474.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
157
5.79 IPS |
|
Image Super-Resolution (HP)
|
100% |
40042
1.48 KIPS |
|
Image Super-Resolution (Q)
|
97% |
102893
3.81 KIPS |
|
Text Classification (SP)
|
100% |
198
264.0 IPS |
|
Text Classification (HP)
|
100% |
3077
4.11 KIPS |
|
Text Classification (Q)
|
93% |
6627
8.89 KIPS |
|
Machine Translation (SP)
|
100% |
354
6.10 IPS |
|
Machine Translation (HP)
|
100% |
3364
58.0 IPS |
|
Machine Translation (Q)
|
56% |
2222
57.2 IPS |