Google Pixel 8
Geekbench AI Score
1864
Single Precision Score
1871
Half Precision Score
2877
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | moumd |
| Upload Date | July 20 2025 01:03 PM |
| Views | 10 |
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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1563
290.6 IPS |
|
|
Image Classification (HP)
|
100% |
1538
286.1 IPS |
|
|
Image Classification (Q)
|
100% |
2552
474.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1691
27.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1725
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2773
45.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2938
3.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2751
3.21 IPS |
|
|
Pose Estimation (Q)
|
84% |
6356
7.54 IPS |
|
|
Object Detection (SP)
|
98% |
1268
100.9 IPS |
|
|
Object Detection (HP)
|
98% |
1379
109.8 IPS |
|
|
Object Detection (Q)
|
83% |
2218
179.2 IPS |
|
|
Face Detection (SP)
|
100% |
2930
34.8 IPS |
|
|
Face Detection (HP)
|
100% |
2927
34.8 IPS |
|
|
Face Detection (Q)
|
95% |
5365
64.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
2792
21.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2745
21.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
4713
43.2 IPS |
|
|
Style Transfer (SP)
|
89% |
6804
8.83 IPS |
|
|
Style Transfer (HP)
|
89% |
6652
8.64 IPS |
|
|
Style Transfer (Q)
|
98% |
13236
17.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1349
49.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1403
51.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3462
128.3 IPS |
|
|
Text Classification (SP)
|
100% |
636
849.4 IPS |
|
|
Text Classification (HP)
|
99% |
672
896.5 IPS |
|
|
Text Classification (Q)
|
88% |
961
1.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
1078
18.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1041
17.9 IPS |
|
|
Machine Translation (Q)
|
50% |
350
12.4 IPS |
