Google Pixel Tablet
Geekbench AI Score
1100
Single Precision Score
1095
Half Precision Score
2037
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | gethen |
| Upload Date | December 19 2024 12:59 AM |
| Views | 3 |
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% |
540
100.3 IPS |
|
|
Image Classification (HP)
|
100% |
533
99.1 IPS |
|
|
Image Classification (Q)
|
100% |
1547
287.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
644
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1735
28.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2409
2.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
2321
2.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
3579
4.24 IPS |
|
|
Object Detection (SP)
|
100% |
507
40.2 IPS |
|
|
Object Detection (HP)
|
100% |
511
40.6 IPS |
|
|
Object Detection (Q)
|
83% |
1400
113.1 IPS |
|
|
Face Detection (SP)
|
100% |
1549
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
1548
18.4 IPS |
|
|
Face Detection (Q)
|
95% |
3501
41.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2001
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1978
15.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3345
30.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4020
5.22 IPS |
|
|
Style Transfer (HP)
|
89% |
4023
5.22 IPS |
|
|
Style Transfer (Q)
|
98% |
8492
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1106
40.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1147
42.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2041
75.6 IPS |
|
|
Text Classification (SP)
|
100% |
546
728.4 IPS |
|
|
Text Classification (HP)
|
100% |
540
721.4 IPS |
|
|
Text Classification (Q)
|
88% |
890
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
815
14.0 IPS |
|
|
Machine Translation (HP)
|
100% |
798
13.7 IPS |
|
|
Machine Translation (Q)
|
50% |
508
18.0 IPS |
