Google Pixel 8
Geekbench AI Score
1537
Single Precision Score
1528
Half Precision Score
2264
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2025 06:20 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1531
284.7 IPS |
|
|
Image Classification (HP)
|
100% |
1492
277.5 IPS |
|
|
Image Classification (Q)
|
100% |
2383
443.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1695
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2797
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2777
3.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
2599
3.03 IPS |
|
|
Pose Estimation (Q)
|
84% |
5503
6.53 IPS |
|
|
Object Detection (SP)
|
98% |
1096
87.3 IPS |
|
|
Object Detection (HP)
|
98% |
1072
85.3 IPS |
|
|
Object Detection (Q)
|
83% |
1403
113.4 IPS |
|
|
Face Detection (SP)
|
100% |
2249
26.7 IPS |
|
|
Face Detection (HP)
|
100% |
2223
26.4 IPS |
|
|
Face Detection (Q)
|
95% |
3239
38.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2089
16.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2082
16.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
3246
29.7 IPS |
|
|
Style Transfer (SP)
|
89% |
4996
6.49 IPS |
|
|
Style Transfer (HP)
|
89% |
5027
6.53 IPS |
|
|
Style Transfer (Q)
|
98% |
9216
11.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1015
37.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1023
37.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2389
88.5 IPS |
|
|
Text Classification (SP)
|
100% |
430
574.5 IPS |
|
|
Text Classification (HP)
|
99% |
435
581.2 IPS |
|
|
Text Classification (Q)
|
88% |
643
867.7 IPS |
|
|
Machine Translation (SP)
|
100% |
911
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
952
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
462
16.4 IPS |
