Google Pixel 8
Geekbench AI Score
1829
Single Precision Score
1832
Half Precision Score
2999
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 11 2025 11:02 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% |
1476
274.6 IPS |
|
|
Image Classification (HP)
|
100% |
1430
266.0 IPS |
|
|
Image Classification (Q)
|
100% |
2390
444.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1663
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1650
26.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2523
41.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2839
3.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
2700
3.15 IPS |
|
|
Pose Estimation (Q)
|
84% |
6273
7.44 IPS |
|
|
Object Detection (SP)
|
98% |
1194
95.0 IPS |
|
|
Object Detection (HP)
|
98% |
1312
104.4 IPS |
|
|
Object Detection (Q)
|
83% |
2004
161.9 IPS |
|
|
Face Detection (SP)
|
100% |
2850
33.9 IPS |
|
|
Face Detection (HP)
|
100% |
2808
33.4 IPS |
|
|
Face Detection (Q)
|
95% |
5248
62.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2727
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2552
19.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4799
44.0 IPS |
|
|
Style Transfer (SP)
|
89% |
6535
8.48 IPS |
|
|
Style Transfer (HP)
|
89% |
6411
8.32 IPS |
|
|
Style Transfer (Q)
|
98% |
12996
16.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1380
50.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1374
50.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3647
135.1 IPS |
|
|
Text Classification (SP)
|
100% |
664
885.7 IPS |
|
|
Text Classification (HP)
|
99% |
697
930.8 IPS |
|
|
Text Classification (Q)
|
88% |
1083
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1084
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1159
20.0 IPS |
|
|
Machine Translation (Q)
|
50% |
601
21.3 IPS |
