Google Pixel 8
Geekbench AI Score
1063
Single Precision Score
1039
Half Precision Score
1566
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 07 2024 07:04 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
946
176.0 IPS |
|
|
Image Classification (HP)
|
100% |
971
180.5 IPS |
|
|
Image Classification (Q)
|
100% |
1561
290.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1096
17.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1101
17.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1668
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
1869
2.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
1506
1.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
3354
3.98 IPS |
|
|
Object Detection (SP)
|
98% |
677
53.9 IPS |
|
|
Object Detection (HP)
|
98% |
676
53.8 IPS |
|
|
Object Detection (Q)
|
83% |
997
80.5 IPS |
|
|
Face Detection (SP)
|
100% |
1583
18.8 IPS |
|
|
Face Detection (HP)
|
100% |
1611
19.1 IPS |
|
|
Face Detection (Q)
|
95% |
2384
28.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1604
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1521
11.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
2309
21.2 IPS |
|
|
Style Transfer (SP)
|
89% |
3680
4.78 IPS |
|
|
Style Transfer (HP)
|
89% |
3624
4.70 IPS |
|
|
Style Transfer (Q)
|
98% |
6756
8.71 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
734
27.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
757
27.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1748
64.8 IPS |
|
|
Text Classification (SP)
|
100% |
314
419.7 IPS |
|
|
Text Classification (HP)
|
99% |
312
416.9 IPS |
|
|
Text Classification (Q)
|
88% |
515
694.4 IPS |
|
|
Machine Translation (SP)
|
100% |
654
11.3 IPS |
|
|
Machine Translation (HP)
|
100% |
644
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
305
10.8 IPS |
