Google Pixel 8
Geekbench AI Score
910
Single Precision Score
1345
Half Precision Score
1031
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 15 2025 12:31 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
323
60.0 IPS |
|
|
Image Classification (HP)
|
100% |
435
80.8 IPS |
|
|
Image Classification (Q)
|
97% |
394
73.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1510
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1900
30.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1572
25.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4896
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
11896
13.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11790
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
489
38.8 IPS |
|
|
Object Detection (HP)
|
99% |
600
47.6 IPS |
|
|
Object Detection (Q)
|
83% |
562
45.4 IPS |
|
|
Face Detection (SP)
|
100% |
2067
24.6 IPS |
|
|
Face Detection (HP)
|
100% |
2586
30.7 IPS |
|
|
Face Detection (Q)
|
96% |
2344
28.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3264
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5547
42.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4356
41.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7486
9.62 IPS |
|
|
Style Transfer (HP)
|
100% |
19601
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18478
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1694
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2201
81.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1992
73.8 IPS |
|
|
Text Classification (SP)
|
35% |
16
143.3 IPS |
|
|
Text Classification (HP)
|
35% |
20
185.6 IPS |
|
|
Text Classification (Q)
|
32% |
14
180.3 IPS |
|
|
Machine Translation (SP)
|
100% |
244
4.20 IPS |
|
|
Machine Translation (HP)
|
100% |
267
4.59 IPS |
|
|
Machine Translation (Q)
|
43% |
63
3.64 IPS |
