| User | WB_Mochi0 |
| Upload Date | September 10 2025 07:07 AM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| Model | QUALCOMM FiiO JM21 |
| Model ID | QUALCOMM FiiO JM21 |
| Motherboard | bengal |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3337 revision 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores @ 1.90 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 2.59 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
49
9.13 IPS |
|
|
Image Classification (HP)
|
100% |
49
9.16 IPS |
|
|
Image Classification (Q)
|
96% |
495
92.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
66
1.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
67
1.09 IPS |
|
|
Image Segmentation (Q)
|
98% |
658
10.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
94
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
94
0.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
3390
3.97 IPS |
|
|
Object Detection (SP)
|
100% |
49
3.88 IPS |
|
|
Object Detection (HP)
|
100% |
49
3.91 IPS |
|
|
Object Detection (Q)
|
84% |
570
46.0 IPS |
|
|
Face Detection (SP)
|
100% |
127
1.51 IPS |
|
|
Face Detection (HP)
|
100% |
129
1.53 IPS |
|
|
Face Detection (Q)
|
97% |
1135
13.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
114
0.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
114
0.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
2115
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
211
0.27 IPS |
|
|
Style Transfer (HP)
|
100% |
210
0.27 IPS |
|
|
Style Transfer (Q)
|
98% |
5712
7.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56
2.07 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
56
2.07 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
105
3.88 IPS |
|
|
Text Classification (SP)
|
100% |
74
98.9 IPS |
|
|
Text Classification (HP)
|
100% |
75
99.6 IPS |
|
|
Text Classification (Q)
|
93% |
155
208.8 IPS |
|
|
Machine Translation (SP)
|
100% |
127
2.18 IPS |
|
|
Machine Translation (HP)
|
100% |
130
2.25 IPS |
|
|
Machine Translation (Q)
|
0% |
0
1.07 IPS |