Google Pixel 8
Geekbench AI Score
1142
Single Precision Score
1141
Half Precision Score
1644
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 21 2025 02:34 PM |
| Views | 5 |
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% |
1375
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
1388
258.1 IPS |
|
|
Image Classification (Q)
|
100% |
2257
419.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1543
25.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1594
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2363
38.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2083
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1970
2.30 IPS |
|
|
Pose Estimation (Q)
|
84% |
3646
4.32 IPS |
|
|
Object Detection (SP)
|
98% |
685
54.5 IPS |
|
|
Object Detection (HP)
|
98% |
674
53.6 IPS |
|
|
Object Detection (Q)
|
83% |
976
78.8 IPS |
|
|
Face Detection (SP)
|
100% |
1620
19.2 IPS |
|
|
Face Detection (HP)
|
100% |
1583
18.8 IPS |
|
|
Face Detection (Q)
|
95% |
2375
28.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1472
11.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1613
12.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2495
22.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3642
4.73 IPS |
|
|
Style Transfer (HP)
|
89% |
3615
4.69 IPS |
|
|
Style Transfer (Q)
|
98% |
6793
8.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
733
27.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
720
26.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1662
61.6 IPS |
|
|
Text Classification (SP)
|
100% |
307
410.3 IPS |
|
|
Text Classification (HP)
|
99% |
306
408.7 IPS |
|
|
Text Classification (Q)
|
88% |
420
566.1 IPS |
|
|
Machine Translation (SP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (HP)
|
100% |
629
10.8 IPS |
|
|
Machine Translation (Q)
|
50% |
271
9.64 IPS |
