Google Pixel 8
Geekbench AI Score
1351
Single Precision Score
1240
Half Precision Score
2001
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 09:21 PM |
| Views | 3 |
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% |
1269
236.1 IPS |
|
|
Image Classification (HP)
|
100% |
711
132.2 IPS |
|
|
Image Classification (Q)
|
100% |
2411
448.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2213
36.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2331
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2046
2.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
4483
5.32 IPS |
|
|
Object Detection (SP)
|
98% |
1007
80.1 IPS |
|
|
Object Detection (HP)
|
98% |
864
68.8 IPS |
|
|
Object Detection (Q)
|
83% |
1248
100.8 IPS |
|
|
Face Detection (SP)
|
100% |
1942
23.1 IPS |
|
|
Face Detection (HP)
|
100% |
1913
22.7 IPS |
|
|
Face Detection (Q)
|
95% |
2720
32.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
1759
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1883
14.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
3015
27.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4485
5.82 IPS |
|
|
Style Transfer (HP)
|
89% |
4430
5.75 IPS |
|
|
Style Transfer (Q)
|
98% |
8687
11.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
957
35.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
900
33.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1961
72.7 IPS |
|
|
Text Classification (SP)
|
100% |
345
461.1 IPS |
|
|
Text Classification (HP)
|
99% |
382
510.4 IPS |
|
|
Text Classification (Q)
|
88% |
625
842.9 IPS |
|
|
Machine Translation (SP)
|
100% |
878
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
824
14.2 IPS |
|
|
Machine Translation (Q)
|
50% |
395
14.0 IPS |
