Google Pixel 8
Geekbench AI Score
1569
Single Precision Score
1193
Half Precision Score
2386
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | wtorres23 |
| Upload Date | August 16 2024 09:33 PM |
| Views | 5 |
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% |
993
184.6 IPS |
|
|
Image Classification (HP)
|
100% |
932
173.2 IPS |
|
|
Image Classification (Q)
|
100% |
992
184.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
665
10.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2798
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2949
3.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
2826
3.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
6395
7.58 IPS |
|
|
Object Detection (SP)
|
98% |
1371
109.1 IPS |
|
|
Object Detection (HP)
|
98% |
1363
108.5 IPS |
|
|
Object Detection (Q)
|
87% |
2340
187.9 IPS |
|
|
Face Detection (SP)
|
100% |
2923
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
2922
34.7 IPS |
|
|
Face Detection (Q)
|
95% |
5503
65.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2789
21.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1802
13.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
6211
50.4 IPS |
|
|
Style Transfer (SP)
|
89% |
6587
8.55 IPS |
|
|
Style Transfer (HP)
|
89% |
3565
4.63 IPS |
|
|
Style Transfer (Q)
|
98% |
12145
15.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1411
52.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
706
26.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1516
56.2 IPS |
|
|
Text Classification (SP)
|
100% |
620
828.0 IPS |
|
|
Text Classification (HP)
|
99% |
301
401.5 IPS |
|
|
Text Classification (Q)
|
88% |
557
751.0 IPS |
|
|
Machine Translation (SP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
411
14.6 IPS |
