User | harman767 |
Upload Date | March 26 2025 07:45 PM |
Views | 4 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | NNAPI |
Device | Google Tensor G2 |
System Information | |
---|---|
Operating System | Android 15 |
Model | Google Pixel 7 Pro |
Model ID | Google Pixel 7 Pro |
Motherboard | cheetah |
Governor | sched_pixel |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 8 Cores |
Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
Base Frequency | 1.80 GHz |
Cluster 1 | 4 Cores @ 1.80 GHz |
Cluster 2 | 2 Cores @ 2.35 GHz |
Cluster 3 | 2 Cores @ 2.85 GHz |
Memory Information | |
---|---|
Size | 11.17 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
141
26.1 IPS |
|
Image Classification (HP)
|
100% |
4864
904.5 IPS |
|
Image Classification (Q)
|
99% |
7319
1.37 KIPS |
|
Image Segmentation (SP)
|
100% |
177
2.87 IPS |
|
Image Segmentation (HP)
|
100% |
4480
72.6 IPS |
|
Image Segmentation (Q)
|
98% |
7795
126.7 IPS |
|
Pose Estimation (SP)
|
100% |
209
0.24 IPS |
|
Pose Estimation (HP)
|
100% |
16606
19.4 IPS |
|
Pose Estimation (Q)
|
97% |
30231
35.4 IPS |
|
Object Detection (SP)
|
100% |
126
9.98 IPS |
|
Object Detection (HP)
|
100% |
3909
310.1 IPS |
|
Object Detection (Q)
|
87% |
5650
453.2 IPS |
|
Face Detection (SP)
|
100% |
362
4.30 IPS |
|
Face Detection (HP)
|
100% |
356
4.23 IPS |
|
Face Detection (Q)
|
97% |
26754
319.0 IPS |
|
Depth Estimation (SP)
|
100% |
278
2.14 IPS |
|
Depth Estimation (HP)
|
99% |
17936
138.2 IPS |
|
Depth Estimation (Q)
|
64% |
27365
251.9 IPS |
|
Style Transfer (SP)
|
100% |
470
0.60 IPS |
|
Style Transfer (HP)
|
100% |
468
0.60 IPS |
|
Style Transfer (Q)
|
58% |
1921
3.45 IPS |
|
Image Super-Resolution (SP)
|
100% |
134
4.97 IPS |
|
Image Super-Resolution (HP)
|
100% |
5063
186.9 IPS |
|
Image Super-Resolution (Q)
|
97% |
10960
406.1 IPS |
|
Text Classification (SP)
|
100% |
175
233.7 IPS |
|
Text Classification (HP)
|
100% |
175
233.6 IPS |
|
Text Classification (Q)
|
92% |
2090
2.81 KIPS |
|
Machine Translation (SP)
|
100% |
310
5.34 IPS |
|
Machine Translation (HP)
|
100% |
302
5.21 IPS |
|
Machine Translation (Q)
|
57% |
273
6.68 IPS |