| Upload Date | August 11 2024 11:36 AM |
| Views | 20 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | QNN |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | motorola motorola razr 50 ultra |
| Model ID | motorola motorola razr 50 ultra |
| Motherboard | arcfox |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 0 part 3458 revision 1 |
| Base Frequency | 2.02 GHz |
| Cluster 1 | 3 Cores @ 2.02 GHz |
| Cluster 2 | 4 Cores @ 2.80 GHz |
| Cluster 3 | 1 Core @ 3.01 GHz |
| Memory Information | |
|---|---|
| Size | 11.12 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
265
49.2 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.9 IPS |
|
|
Image Classification (Q)
|
99% |
24181
4.51 KIPS |
|
|
Image Segmentation (SP)
|
100% |
233
3.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
297
4.81 IPS |
|
|
Image Segmentation (Q)
|
98% |
17203
279.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
303
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
310
0.36 IPS |
|
|
Pose Estimation (Q)
|
98% |
133803
156.6 IPS |
|
|
Object Detection (SP)
|
100% |
245
19.5 IPS |
|
|
Object Detection (HP)
|
100% |
226
17.9 IPS |
|
|
Object Detection (Q)
|
90% |
12407
991.9 IPS |
|
|
Face Detection (SP)
|
100% |
549
6.53 IPS |
|
|
Face Detection (HP)
|
100% |
523
6.21 IPS |
|
|
Face Detection (Q)
|
97% |
55198
658.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
530
4.08 IPS |
|
|
Depth Estimation (HP)
|
100% |
401
3.09 IPS |
|
|
Depth Estimation (Q)
|
73% |
61345
503.4 IPS |
|
|
Style Transfer (SP)
|
100% |
801
1.03 IPS |
|
|
Style Transfer (HP)
|
100% |
652
0.84 IPS |
|
|
Style Transfer (Q)
|
98% |
161743
208.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
276
10.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
242
8.94 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
41890
1.55 KIPS |
|
|
Text Classification (SP)
|
100% |
402
536.8 IPS |
|
|
Text Classification (HP)
|
100% |
307
409.7 IPS |
|
|
Text Classification (Q)
|
93% |
5390
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
616
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
437
7.53 IPS |
|
|
Machine Translation (Q)
|
30% |
169
34.0 IPS |