Google Pixel 8
Geekbench AI Score
423
Single Precision Score
4451
Half Precision Score
7064
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 12:41 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 8 |
| Model ID | Google Pixel 8 |
| Motherboard | shiba |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 9 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3406 revision 0 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 4 Cores @ 1.70 GHz |
| Cluster 2 | 4 Cores @ 2.37 GHz |
| Cluster 3 | 1 Core @ 2.91 GHz |
| Memory Information | |
|---|---|
| Size | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
278
51.6 IPS |
|
|
Image Classification (HP)
|
100% |
3660
680.6 IPS |
|
|
Image Classification (Q)
|
99% |
4713
879.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
360
5.83 IPS |
|
|
Image Segmentation (HP)
|
100% |
9064
146.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
15528
252.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
432
0.50 IPS |
|
|
Pose Estimation (HP)
|
100% |
31146
36.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
63008
73.8 IPS |
|
|
Object Detection (SP)
|
100% |
256
20.3 IPS |
|
|
Object Detection (HP)
|
100% |
4038
320.3 IPS |
|
|
Object Detection (Q)
|
87% |
4962
398.0 IPS |
|
|
Face Detection (SP)
|
100% |
631
7.50 IPS |
|
|
Face Detection (HP)
|
100% |
15345
182.3 IPS |
|
|
Face Detection (Q)
|
97% |
29337
349.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
557
4.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
29976
230.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
33634
309.6 IPS |
|
|
Style Transfer (SP)
|
100% |
814
1.05 IPS |
|
|
Style Transfer (HP)
|
100% |
814
1.05 IPS |
|
|
Style Transfer (Q)
|
72% |
3306
4.55 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
227
8.37 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7819
288.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13895
514.9 IPS |
|
|
Text Classification (SP)
|
100% |
421
562.3 IPS |
|
|
Text Classification (HP)
|
100% |
420
560.6 IPS |
|
|
Text Classification (Q)
|
92% |
733
984.8 IPS |
|
|
Machine Translation (SP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (Q)
|
57% |
407
9.94 IPS |
