Google Pixel 8
Geekbench AI Score
1761
Single Precision Score
1761
Half Precision Score
2850
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 10:25 PM |
| Views | 2 |
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% |
1239
230.4 IPS |
|
|
Image Classification (HP)
|
100% |
1369
254.7 IPS |
|
|
Image Classification (Q)
|
100% |
2309
429.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1701
27.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1694
27.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2774
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2798
3.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
2629
3.07 IPS |
|
|
Pose Estimation (Q)
|
84% |
5987
7.10 IPS |
|
|
Object Detection (SP)
|
98% |
1282
102.0 IPS |
|
|
Object Detection (HP)
|
98% |
1289
102.5 IPS |
|
|
Object Detection (Q)
|
83% |
2192
177.1 IPS |
|
|
Face Detection (SP)
|
100% |
2815
33.5 IPS |
|
|
Face Detection (HP)
|
100% |
2818
33.5 IPS |
|
|
Face Detection (Q)
|
95% |
5220
62.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2596
20.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2499
19.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
4656
42.6 IPS |
|
|
Style Transfer (SP)
|
89% |
6349
8.24 IPS |
|
|
Style Transfer (HP)
|
89% |
6279
8.15 IPS |
|
|
Style Transfer (Q)
|
98% |
12359
15.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1379
50.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1327
49.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3301
122.3 IPS |
|
|
Text Classification (SP)
|
100% |
573
764.3 IPS |
|
|
Text Classification (HP)
|
99% |
592
789.9 IPS |
|
|
Text Classification (Q)
|
88% |
863
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
1036
17.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1052
18.1 IPS |
|
|
Machine Translation (Q)
|
50% |
492
17.5 IPS |
