Google Pixel Tablet
Geekbench AI Score
1094
Single Precision Score
1081
Half Precision Score
2041
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 06 2025 05:51 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
534
99.4 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.8 IPS |
|
|
Image Classification (Q)
|
100% |
1461
271.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
631
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
628
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1705
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2358
2.75 IPS |
|
|
Pose Estimation (HP)
|
100% |
2322
2.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
3567
4.23 IPS |
|
|
Object Detection (SP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (HP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (Q)
|
83% |
1329
107.4 IPS |
|
|
Face Detection (SP)
|
100% |
1501
17.8 IPS |
|
|
Face Detection (HP)
|
100% |
1503
17.9 IPS |
|
|
Face Detection (Q)
|
95% |
3473
41.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2003
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1987
15.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3325
30.5 IPS |
|
|
Style Transfer (SP)
|
89% |
3988
5.18 IPS |
|
|
Style Transfer (HP)
|
89% |
4005
5.20 IPS |
|
|
Style Transfer (Q)
|
98% |
8501
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1132
41.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1128
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2052
76.0 IPS |
|
|
Text Classification (SP)
|
100% |
567
757.2 IPS |
|
|
Text Classification (HP)
|
100% |
565
754.6 IPS |
|
|
Text Classification (Q)
|
88% |
1005
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
825
14.2 IPS |
|
|
Machine Translation (HP)
|
100% |
804
13.9 IPS |
|
|
Machine Translation (Q)
|
50% |
525
18.6 IPS |
