Google Pixel Tablet
Geekbench AI Score
533
Single Precision Score
629
Half Precision Score
610
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | yasin9300 |
| Upload Date | December 22 2024 10:23 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel Tablet |
| Model ID | Google Pixel Tablet |
| Motherboard | tangorpro |
| 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 | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.3 IPS |
|
|
Image Classification (Q)
|
99% |
216
40.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
646
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
873
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
820
13.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
458
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
623
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
620
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
255
20.2 IPS |
|
|
Object Detection (HP)
|
100% |
319
25.3 IPS |
|
|
Object Detection (Q)
|
83% |
329
26.6 IPS |
|
|
Face Detection (SP)
|
100% |
1188
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1432
17.0 IPS |
|
|
Face Detection (Q)
|
97% |
1322
15.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
778
5.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
920
7.08 IPS |
|
|
Depth Estimation (Q)
|
62% |
747
7.07 IPS |
|
|
Style Transfer (SP)
|
100% |
2018
2.59 IPS |
|
|
Style Transfer (HP)
|
100% |
2617
3.36 IPS |
|
|
Style Transfer (Q)
|
98% |
2577
3.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
385
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
471
17.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
478
17.7 IPS |
|
|
Text Classification (SP)
|
100% |
317
422.5 IPS |
|
|
Text Classification (HP)
|
100% |
317
423.0 IPS |
|
|
Text Classification (Q)
|
91% |
532
715.1 IPS |
|
|
Machine Translation (SP)
|
100% |
461
7.94 IPS |
|
|
Machine Translation (HP)
|
100% |
458
7.89 IPS |
|
|
Machine Translation (Q)
|
57% |
307
7.51 IPS |
