Google Pixel 8
Geekbench AI Score
1013
Single Precision Score
1106
Half Precision Score
1731
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 01:49 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1183
220.0 IPS |
|
|
Image Classification (HP)
|
100% |
1370
254.7 IPS |
|
|
Image Classification (Q)
|
100% |
1955
363.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1238
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1333
21.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2268
36.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2107
2.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
1630
1.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
3092
3.67 IPS |
|
|
Object Detection (SP)
|
98% |
497
39.6 IPS |
|
|
Object Detection (HP)
|
98% |
936
74.4 IPS |
|
|
Object Detection (Q)
|
83% |
1322
106.8 IPS |
|
|
Face Detection (SP)
|
100% |
986
11.7 IPS |
|
|
Face Detection (HP)
|
100% |
1587
18.9 IPS |
|
|
Face Detection (Q)
|
95% |
2412
28.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1709
13.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1482
11.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3376
30.9 IPS |
|
|
Style Transfer (SP)
|
89% |
4962
6.44 IPS |
|
|
Style Transfer (HP)
|
89% |
2771
3.60 IPS |
|
|
Style Transfer (Q)
|
98% |
6988
9.01 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
648
23.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
601
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1271
47.1 IPS |
|
|
Text Classification (SP)
|
100% |
259
345.2 IPS |
|
|
Text Classification (HP)
|
99% |
276
368.6 IPS |
|
|
Text Classification (Q)
|
88% |
414
558.8 IPS |
|
|
Machine Translation (SP)
|
100% |
530
9.13 IPS |
|
|
Machine Translation (HP)
|
100% |
912
15.7 IPS |
|
|
Machine Translation (Q)
|
50% |
446
15.8 IPS |
