Google Pixel Tablet
Geekbench AI Score
1060
Single Precision Score
1065
Half Precision Score
2033
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | yasin9300 |
| Upload Date | December 22 2024 09:56 AM |
| Views | 2 |
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% |
480
89.3 IPS |
|
|
Image Classification (HP)
|
100% |
515
95.7 IPS |
|
|
Image Classification (Q)
|
100% |
1438
267.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
621
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1765
28.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2238
2.61 IPS |
|
|
Pose Estimation (HP)
|
100% |
2192
2.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
3550
4.21 IPS |
|
|
Object Detection (SP)
|
100% |
492
39.0 IPS |
|
|
Object Detection (HP)
|
100% |
492
39.1 IPS |
|
|
Object Detection (Q)
|
83% |
1384
111.8 IPS |
|
|
Face Detection (SP)
|
100% |
1506
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1507
17.9 IPS |
|
|
Face Detection (Q)
|
95% |
3467
41.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1935
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1944
15.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3377
30.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3943
5.12 IPS |
|
|
Style Transfer (HP)
|
89% |
3991
5.18 IPS |
|
|
Style Transfer (Q)
|
98% |
8468
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1106
40.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1106
40.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2019
74.8 IPS |
|
|
Text Classification (SP)
|
100% |
550
733.6 IPS |
|
|
Text Classification (HP)
|
100% |
556
742.1 IPS |
|
|
Text Classification (Q)
|
88% |
977
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
776
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
757
13.0 IPS |
|
|
Machine Translation (Q)
|
50% |
495
17.6 IPS |
