Google Pixel 8
Geekbench AI Score
910
Single Precision Score
1421
Half Precision Score
1060
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | February 13 2026 09:29 AM |
| Views | 1 |
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 | 7.40 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
430
80.0 IPS |
|
|
Image Classification (HP)
|
100% |
651
121.1 IPS |
|
|
Image Classification (Q)
|
97% |
411
76.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1331
21.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1889
30.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1697
27.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4979
5.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
12167
14.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
11907
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
482
38.2 IPS |
|
|
Object Detection (HP)
|
99% |
790
62.7 IPS |
|
|
Object Detection (Q)
|
83% |
793
64.0 IPS |
|
|
Face Detection (SP)
|
100% |
2144
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
2453
29.1 IPS |
|
|
Face Detection (Q)
|
96% |
2094
25.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3318
25.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
5541
42.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
4366
41.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7516
9.66 IPS |
|
|
Style Transfer (HP)
|
100% |
19611
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18736
24.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1314
48.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2128
78.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1991
73.8 IPS |
|
|
Text Classification (SP)
|
35% |
17
152.8 IPS |
|
|
Text Classification (HP)
|
35% |
18
160.1 IPS |
|
|
Text Classification (Q)
|
32% |
12
160.2 IPS |
|
|
Machine Translation (SP)
|
100% |
239
4.12 IPS |
|
|
Machine Translation (HP)
|
100% |
280
4.81 IPS |
|
|
Machine Translation (Q)
|
43% |
67
3.90 IPS |
