Google Pixel 8
Geekbench AI Score
1643
Single Precision Score
1690
Half Precision Score
2779
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 13 2025 05:09 AM |
| Views | 5 |
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% |
1500
279.0 IPS |
|
|
Image Classification (HP)
|
100% |
1475
274.3 IPS |
|
|
Image Classification (Q)
|
100% |
2303
428.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1537
24.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1638
26.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2797
45.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2673
3.12 IPS |
|
|
Pose Estimation (HP)
|
100% |
2443
2.85 IPS |
|
|
Pose Estimation (Q)
|
84% |
5654
6.71 IPS |
|
|
Object Detection (SP)
|
98% |
1207
96.0 IPS |
|
|
Object Detection (HP)
|
98% |
1238
98.5 IPS |
|
|
Object Detection (Q)
|
83% |
1973
159.4 IPS |
|
|
Face Detection (SP)
|
100% |
2590
30.8 IPS |
|
|
Face Detection (HP)
|
100% |
2373
28.2 IPS |
|
|
Face Detection (Q)
|
95% |
4726
56.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2397
18.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2300
17.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
4234
38.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5869
7.62 IPS |
|
|
Style Transfer (HP)
|
89% |
5867
7.62 IPS |
|
|
Style Transfer (Q)
|
98% |
12706
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1344
49.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1360
50.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3204
118.7 IPS |
|
|
Text Classification (SP)
|
100% |
357
476.0 IPS |
|
|
Text Classification (HP)
|
99% |
588
784.9 IPS |
|
|
Text Classification (Q)
|
88% |
970
1.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
1109
19.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1019
17.6 IPS |
|
|
Machine Translation (Q)
|
50% |
484
17.2 IPS |
