Google Pixel Tablet
Geekbench AI Score
1040
Single Precision Score
1048
Half Precision Score
2031
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | pingwinator |
| Upload Date | August 16 2024 01:30 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.28 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
484
90.0 IPS |
|
|
Image Classification (HP)
|
100% |
517
96.2 IPS |
|
|
Image Classification (Q)
|
100% |
1525
283.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
613
9.93 IPS |
|
|
Image Segmentation (HP)
|
100% |
615
9.96 IPS |
|
|
Image Segmentation (Q)
|
98% |
1735
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2225
2.60 IPS |
|
|
Pose Estimation (HP)
|
100% |
2172
2.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
3606
4.28 IPS |
|
|
Object Detection (SP)
|
100% |
477
37.8 IPS |
|
|
Object Detection (HP)
|
100% |
483
38.3 IPS |
|
|
Object Detection (Q)
|
87% |
1411
113.3 IPS |
|
|
Face Detection (SP)
|
100% |
1476
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
1507
17.9 IPS |
|
|
Face Detection (Q)
|
95% |
3386
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1941
15.0 IPS |
|
|
Depth Estimation (HP)
|
100% |
1879
14.5 IPS |
|
|
Depth Estimation (Q)
|
75% |
3787
30.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3826
4.97 IPS |
|
|
Style Transfer (HP)
|
89% |
3800
4.93 IPS |
|
|
Style Transfer (Q)
|
98% |
8163
10.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1067
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1066
39.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2002
74.2 IPS |
|
|
Text Classification (SP)
|
100% |
526
701.5 IPS |
|
|
Text Classification (HP)
|
100% |
560
747.2 IPS |
|
|
Text Classification (Q)
|
88% |
854
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
770
13.3 IPS |
|
|
Machine Translation (HP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (Q)
|
50% |
496
17.6 IPS |
