Google Pixel Tablet
Geekbench AI Score
555
Single Precision Score
666
Half Precision Score
685
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Stefanreb |
| Upload Date | February 21 2025 09:00 PM |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
397
73.8 IPS |
|
|
Image Classification (HP)
|
100% |
318
59.1 IPS |
|
|
Image Classification (Q)
|
99% |
323
60.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
974
15.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
918
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
452
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
630
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
626
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
336
26.6 IPS |
|
|
Object Detection (HP)
|
100% |
460
36.5 IPS |
|
|
Object Detection (Q)
|
83% |
489
39.6 IPS |
|
|
Face Detection (SP)
|
100% |
1431
17.0 IPS |
|
|
Face Detection (HP)
|
100% |
1843
21.9 IPS |
|
|
Face Detection (Q)
|
97% |
1732
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
790
6.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
976
7.52 IPS |
|
|
Depth Estimation (Q)
|
62% |
793
7.51 IPS |
|
|
Style Transfer (SP)
|
100% |
1978
2.54 IPS |
|
|
Style Transfer (HP)
|
100% |
2671
3.43 IPS |
|
|
Style Transfer (Q)
|
98% |
2661
3.43 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
426
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
554
20.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
547
20.3 IPS |
|
|
Text Classification (SP)
|
100% |
213
284.5 IPS |
|
|
Text Classification (HP)
|
100% |
212
283.1 IPS |
|
|
Text Classification (Q)
|
91% |
434
583.9 IPS |
|
|
Machine Translation (SP)
|
100% |
340
5.85 IPS |
|
|
Machine Translation (HP)
|
100% |
342
5.88 IPS |
|
|
Machine Translation (Q)
|
57% |
291
7.12 IPS |
