Google Pixel Tablet
Geekbench AI Score
336
Single Precision Score
2665
Half Precision Score
7367
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | marvingnils |
| Upload Date | February 04 2025 06:14 PM |
| Views | 6 |
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% |
211
39.3 IPS |
|
|
Image Classification (HP)
|
100% |
5426
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
8542
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
270
4.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
5106
82.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9275
150.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
348
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
20855
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
37952
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
204
16.2 IPS |
|
|
Object Detection (HP)
|
100% |
4586
363.8 IPS |
|
|
Object Detection (Q)
|
87% |
6480
519.8 IPS |
|
|
Face Detection (SP)
|
100% |
491
5.84 IPS |
|
|
Face Detection (HP)
|
100% |
494
5.87 IPS |
|
|
Face Detection (Q)
|
97% |
31042
370.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
426
3.28 IPS |
|
|
Depth Estimation (HP)
|
99% |
22259
171.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
33194
305.6 IPS |
|
|
Style Transfer (SP)
|
100% |
695
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
692
0.89 IPS |
|
|
Style Transfer (Q)
|
58% |
2299
4.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
215
7.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6206
229.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13541
501.8 IPS |
|
|
Text Classification (SP)
|
100% |
314
418.8 IPS |
|
|
Text Classification (HP)
|
100% |
315
419.8 IPS |
|
|
Text Classification (Q)
|
92% |
2464
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
468
8.06 IPS |
|
|
Machine Translation (HP)
|
100% |
460
7.93 IPS |
|
|
Machine Translation (Q)
|
57% |
306
7.49 IPS |
