Google Pixel Tablet
Geekbench AI Score
336
Single Precision Score
2647
Half Precision Score
7369
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | yasin9300 |
| Upload Date | December 22 2024 10:14 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
208
38.7 IPS |
|
|
Image Classification (HP)
|
100% |
5430
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
8577
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
265
4.29 IPS |
|
|
Image Segmentation (HP)
|
100% |
5054
81.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
9379
152.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
351
0.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
20835
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
37886
44.4 IPS |
|
|
Object Detection (SP)
|
100% |
203
16.1 IPS |
|
|
Object Detection (HP)
|
100% |
4408
349.7 IPS |
|
|
Object Detection (Q)
|
87% |
6417
514.8 IPS |
|
|
Face Detection (SP)
|
100% |
487
5.79 IPS |
|
|
Face Detection (HP)
|
100% |
484
5.75 IPS |
|
|
Face Detection (Q)
|
97% |
31656
377.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
432
3.33 IPS |
|
|
Depth Estimation (HP)
|
99% |
21778
167.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
32328
297.6 IPS |
|
|
Style Transfer (SP)
|
100% |
698
0.90 IPS |
|
|
Style Transfer (HP)
|
100% |
704
0.91 IPS |
|
|
Style Transfer (Q)
|
58% |
2299
4.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
221
8.15 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6165
227.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13607
504.2 IPS |
|
|
Text Classification (SP)
|
100% |
315
420.8 IPS |
|
|
Text Classification (HP)
|
100% |
315
419.8 IPS |
|
|
Text Classification (Q)
|
92% |
2451
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
467
8.05 IPS |
|
|
Machine Translation (HP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (Q)
|
57% |
308
7.52 IPS |
