Google Pixel Tablet
Geekbench AI Score
530
Single Precision Score
633
Half Precision Score
619
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | marvingnils |
| Upload Date | February 04 2025 05:19 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
226
42.0 IPS |
|
|
Image Classification (HP)
|
100% |
248
46.2 IPS |
|
|
Image Classification (Q)
|
99% |
223
41.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
680
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
878
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
869
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
457
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
623
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
622
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (HP)
|
100% |
325
25.8 IPS |
|
|
Object Detection (Q)
|
83% |
356
28.8 IPS |
|
|
Face Detection (SP)
|
100% |
1122
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
1387
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
1295
15.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
784
6.04 IPS |
|
|
Depth Estimation (HP)
|
99% |
919
7.08 IPS |
|
|
Depth Estimation (Q)
|
62% |
744
7.04 IPS |
|
|
Style Transfer (SP)
|
100% |
2006
2.58 IPS |
|
|
Style Transfer (HP)
|
100% |
2624
3.37 IPS |
|
|
Style Transfer (Q)
|
98% |
2612
3.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
480
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
465
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
320
426.9 IPS |
|
|
Text Classification (HP)
|
100% |
316
421.7 IPS |
|
|
Text Classification (Q)
|
91% |
530
711.8 IPS |
|
|
Machine Translation (SP)
|
100% |
465
8.01 IPS |
|
|
Machine Translation (HP)
|
100% |
466
8.03 IPS |
|
|
Machine Translation (Q)
|
57% |
312
7.62 IPS |
