Google Pixel Tablet
Geekbench AI Score
343
Single Precision Score
2682
Half Precision Score
7328
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 29 2024 12:50 AM |
| Views | 1 |
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% |
211
39.2 IPS |
|
|
Image Classification (HP)
|
100% |
5403
1.00 KIPS |
|
|
Image Classification (Q)
|
99% |
8376
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
271
4.40 IPS |
|
|
Image Segmentation (HP)
|
100% |
5010
81.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
9258
150.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
358
0.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
20881
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
37800
44.3 IPS |
|
|
Object Detection (SP)
|
100% |
211
16.7 IPS |
|
|
Object Detection (HP)
|
100% |
4550
360.9 IPS |
|
|
Object Detection (Q)
|
87% |
6402
513.6 IPS |
|
|
Face Detection (SP)
|
100% |
495
5.88 IPS |
|
|
Face Detection (HP)
|
100% |
499
5.93 IPS |
|
|
Face Detection (Q)
|
97% |
31252
372.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
443
3.42 IPS |
|
|
Depth Estimation (HP)
|
99% |
22540
173.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
32697
301.0 IPS |
|
|
Style Transfer (SP)
|
100% |
711
0.91 IPS |
|
|
Style Transfer (HP)
|
100% |
714
0.92 IPS |
|
|
Style Transfer (Q)
|
58% |
2333
4.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
223
8.25 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6161
227.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13399
496.5 IPS |
|
|
Text Classification (SP)
|
100% |
319
425.4 IPS |
|
|
Text Classification (HP)
|
100% |
320
426.5 IPS |
|
|
Text Classification (Q)
|
92% |
2405
3.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
473
8.14 IPS |
|
|
Machine Translation (HP)
|
100% |
474
8.16 IPS |
|
|
Machine Translation (Q)
|
57% |
310
7.58 IPS |
