Google Pixel 8
Geekbench AI Score
587
Single Precision Score
805
Half Precision Score
808
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 01 2025 08:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
397
73.9 IPS |
|
|
Image Classification (HP)
|
100% |
436
81.0 IPS |
|
|
Image Classification (Q)
|
99% |
397
74.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
737
11.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1200
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1152
18.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
503
0.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
937
1.09 IPS |
|
|
Pose Estimation (Q)
|
96% |
929
1.09 IPS |
|
|
Object Detection (SP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (HP)
|
100% |
503
39.9 IPS |
|
|
Object Detection (Q)
|
83% |
508
41.1 IPS |
|
|
Face Detection (SP)
|
100% |
1657
19.7 IPS |
|
|
Face Detection (HP)
|
100% |
1883
22.4 IPS |
|
|
Face Detection (Q)
|
97% |
1739
20.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
936
7.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
1651
12.7 IPS |
|
|
Depth Estimation (Q)
|
62% |
1328
12.6 IPS |
|
|
Style Transfer (SP)
|
100% |
2757
3.54 IPS |
|
|
Style Transfer (HP)
|
100% |
4581
5.89 IPS |
|
|
Style Transfer (Q)
|
98% |
4501
5.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
535
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
818
30.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
797
29.5 IPS |
|
|
Text Classification (SP)
|
100% |
164
219.5 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.9 IPS |
|
|
Text Classification (Q)
|
91% |
249
334.8 IPS |
|
|
Machine Translation (SP)
|
100% |
236
4.06 IPS |
|
|
Machine Translation (HP)
|
100% |
244
4.21 IPS |
|
|
Machine Translation (Q)
|
57% |
267
6.52 IPS |
