Google Pixel Tablet
Geekbench AI Score
1072
Single Precision Score
1069
Half Precision Score
2057
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | marvingnils |
| Upload Date | February 04 2025 05:05 PM |
| Views | 4 |
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% |
529
98.3 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.2 IPS |
|
|
Image Classification (Q)
|
100% |
1517
282.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1769
28.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2319
2.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
2181
2.55 IPS |
|
|
Pose Estimation (Q)
|
84% |
3573
4.24 IPS |
|
|
Object Detection (SP)
|
100% |
487
38.6 IPS |
|
|
Object Detection (HP)
|
100% |
500
39.7 IPS |
|
|
Object Detection (Q)
|
83% |
1382
111.6 IPS |
|
|
Face Detection (SP)
|
100% |
1505
17.9 IPS |
|
|
Face Detection (HP)
|
100% |
1507
17.9 IPS |
|
|
Face Detection (Q)
|
95% |
3438
41.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1935
14.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1913
14.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
3300
30.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3879
5.03 IPS |
|
|
Style Transfer (HP)
|
89% |
3919
5.09 IPS |
|
|
Style Transfer (Q)
|
98% |
8802
11.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1113
41.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1117
41.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2038
75.5 IPS |
|
|
Text Classification (SP)
|
100% |
527
703.9 IPS |
|
|
Text Classification (HP)
|
100% |
564
753.1 IPS |
|
|
Text Classification (Q)
|
88% |
977
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
814
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
787
13.6 IPS |
|
|
Machine Translation (Q)
|
50% |
515
18.3 IPS |
