Google Pixel 8
Geekbench AI Score
1436
Single Precision Score
1457
Half Precision Score
2161
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 11 2025 10:37 PM |
| Views | 6 |
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% |
1297
241.2 IPS |
|
|
Image Classification (HP)
|
100% |
1414
262.9 IPS |
|
|
Image Classification (Q)
|
100% |
2419
449.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1615
26.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2541
41.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2335
2.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
2078
2.42 IPS |
|
|
Pose Estimation (Q)
|
84% |
4436
5.26 IPS |
|
|
Object Detection (SP)
|
98% |
1003
79.8 IPS |
|
|
Object Detection (HP)
|
98% |
924
73.5 IPS |
|
|
Object Detection (Q)
|
83% |
1474
119.1 IPS |
|
|
Face Detection (SP)
|
100% |
2175
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2160
25.7 IPS |
|
|
Face Detection (Q)
|
95% |
3325
39.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
1977
15.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2055
15.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3368
30.8 IPS |
|
|
Style Transfer (SP)
|
89% |
5024
6.52 IPS |
|
|
Style Transfer (HP)
|
89% |
5062
6.57 IPS |
|
|
Style Transfer (Q)
|
98% |
9472
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1038
38.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1024
37.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2380
88.2 IPS |
|
|
Text Classification (SP)
|
100% |
452
603.2 IPS |
|
|
Text Classification (HP)
|
99% |
451
602.1 IPS |
|
|
Text Classification (Q)
|
88% |
725
977.9 IPS |
|
|
Machine Translation (SP)
|
100% |
877
15.1 IPS |
|
|
Machine Translation (HP)
|
100% |
953
16.4 IPS |
|
|
Machine Translation (Q)
|
50% |
302
10.7 IPS |
