User | oldnick |
Upload Date | January 06 2025 10:36 AM |
Views | 2 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | NNAPI |
Device | Google Tensor G3 |
System Information | |
---|---|
Operating System | Android 15 |
Model | Google Pixel 8 Pro |
Model ID | Google Pixel 8 Pro |
Motherboard | husky |
Governor | sched_pixel |
CPU Information | |
---|---|
Name | ARM ARMv8 |
Topology | 1 Processor, 9 Cores |
Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
Base Frequency | 1.70 GHz |
Cluster 1 | 4 Cores @ 1.70 GHz |
Cluster 2 | 4 Cores @ 2.37 GHz |
Cluster 3 | 1 Core @ 2.91 GHz |
Memory Information | |
---|---|
Size | 11.32 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
275
51.1 IPS |
|
Image Classification (HP)
|
100% |
3510
652.8 IPS |
|
Image Classification (Q)
|
99% |
5462
1.02 KIPS |
|
Image Segmentation (SP)
|
100% |
346
5.61 IPS |
|
Image Segmentation (HP)
|
100% |
8869
143.8 IPS |
|
Image Segmentation (Q)
|
98% |
16274
264.6 IPS |
|
Pose Estimation (SP)
|
100% |
413
0.48 IPS |
|
Pose Estimation (HP)
|
100% |
31318
36.5 IPS |
|
Pose Estimation (Q)
|
97% |
62159
72.8 IPS |
|
Object Detection (SP)
|
100% |
244
19.3 IPS |
|
Object Detection (HP)
|
100% |
4061
322.1 IPS |
|
Object Detection (Q)
|
87% |
6386
512.3 IPS |
|
Face Detection (SP)
|
100% |
588
6.98 IPS |
|
Face Detection (HP)
|
100% |
13872
164.8 IPS |
|
Face Detection (Q)
|
97% |
27578
328.8 IPS |
|
Depth Estimation (SP)
|
100% |
515
3.97 IPS |
|
Depth Estimation (HP)
|
99% |
30185
232.6 IPS |
|
Depth Estimation (Q)
|
64% |
30729
282.9 IPS |
|
Style Transfer (SP)
|
100% |
745
0.96 IPS |
|
Style Transfer (HP)
|
100% |
748
0.96 IPS |
|
Style Transfer (Q)
|
72% |
2867
3.95 IPS |
|
Image Super-Resolution (SP)
|
100% |
278
10.3 IPS |
|
Image Super-Resolution (HP)
|
100% |
7846
289.7 IPS |
|
Image Super-Resolution (Q)
|
97% |
12978
480.9 IPS |
|
Text Classification (SP)
|
100% |
340
453.9 IPS |
|
Text Classification (HP)
|
100% |
351
468.8 IPS |
|
Text Classification (Q)
|
92% |
827
1.11 KIPS |
|
Machine Translation (SP)
|
100% |
547
9.42 IPS |
|
Machine Translation (HP)
|
100% |
519
8.94 IPS |
|
Machine Translation (Q)
|
57% |
369
9.01 IPS |