Google Pixel Tablet
Geekbench AI Score
1109
Single Precision Score
1099
Half Precision Score
2093
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | yotsuya |
| Upload Date | December 26 2024 04:35 PM |
| Views | 8 |
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% |
528
98.1 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.9 IPS |
|
|
Image Classification (Q)
|
100% |
1547
287.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
647
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1791
29.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2363
2.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
2356
2.75 IPS |
|
|
Pose Estimation (Q)
|
84% |
3591
4.26 IPS |
|
|
Object Detection (SP)
|
100% |
510
40.4 IPS |
|
|
Object Detection (HP)
|
100% |
512
40.6 IPS |
|
|
Object Detection (Q)
|
83% |
1418
114.6 IPS |
|
|
Face Detection (SP)
|
100% |
1545
18.4 IPS |
|
|
Face Detection (HP)
|
100% |
1561
18.5 IPS |
|
|
Face Detection (Q)
|
95% |
3517
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2000
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1996
15.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3352
30.7 IPS |
|
|
Style Transfer (SP)
|
89% |
4059
5.27 IPS |
|
|
Style Transfer (HP)
|
89% |
4068
5.28 IPS |
|
|
Style Transfer (Q)
|
98% |
8493
11.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1145
42.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1152
42.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2071
76.7 IPS |
|
|
Text Classification (SP)
|
100% |
563
751.5 IPS |
|
|
Text Classification (HP)
|
100% |
578
771.7 IPS |
|
|
Text Classification (Q)
|
88% |
1014
1.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
847
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
826
14.2 IPS |
|
|
Machine Translation (Q)
|
50% |
546
19.4 IPS |
