Google Pixel Tablet
Geekbench AI Score
341
Single Precision Score
2708
Half Precision Score
7432
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | tavcsor |
| Upload Date | February 26 2025 09:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
214
39.8 IPS |
|
|
Image Classification (HP)
|
100% |
5611
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
8634
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
276
4.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
5372
87.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9441
153.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
356
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
20899
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
37941
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
207
16.4 IPS |
|
|
Object Detection (HP)
|
100% |
4668
370.2 IPS |
|
|
Object Detection (Q)
|
87% |
6589
528.6 IPS |
|
|
Face Detection (SP)
|
100% |
498
5.91 IPS |
|
|
Face Detection (HP)
|
100% |
498
5.92 IPS |
|
|
Face Detection (Q)
|
97% |
31472
375.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
434
3.34 IPS |
|
|
Depth Estimation (HP)
|
99% |
22725
175.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
33102
304.7 IPS |
|
|
Style Transfer (SP)
|
100% |
703
0.90 IPS |
|
|
Style Transfer (HP)
|
100% |
704
0.90 IPS |
|
|
Style Transfer (Q)
|
58% |
2322
4.17 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
219
8.07 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6147
227.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13589
503.5 IPS |
|
|
Text Classification (SP)
|
100% |
315
420.9 IPS |
|
|
Text Classification (HP)
|
100% |
317
423.0 IPS |
|
|
Text Classification (Q)
|
92% |
2478
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.00 IPS |
|
|
Machine Translation (Q)
|
57% |
310
7.58 IPS |
