Google Pixel 8
Geekbench AI Score
663
Single Precision Score
737
Half Precision Score
714
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | feranick |
| Upload Date | November 07 2024 05:23 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
389
72.3 IPS |
|
|
Image Classification (HP)
|
100% |
372
69.1 IPS |
|
|
Image Classification (Q)
|
99% |
351
65.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
867
14.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
978
15.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
916
14.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
485
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
689
0.80 IPS |
|
|
Pose Estimation (Q)
|
96% |
683
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
282
22.4 IPS |
|
|
Object Detection (HP)
|
100% |
293
23.2 IPS |
|
|
Object Detection (Q)
|
83% |
371
30.0 IPS |
|
|
Face Detection (SP)
|
100% |
1232
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1330
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
1167
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
900
6.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
1089
8.39 IPS |
|
|
Depth Estimation (Q)
|
62% |
887
8.39 IPS |
|
|
Style Transfer (SP)
|
100% |
2531
3.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3273
4.21 IPS |
|
|
Style Transfer (Q)
|
98% |
3300
4.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
548
20.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
606
22.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
518
19.2 IPS |
|
|
Text Classification (SP)
|
100% |
402
536.7 IPS |
|
|
Text Classification (HP)
|
100% |
400
534.3 IPS |
|
|
Text Classification (Q)
|
91% |
615
826.2 IPS |
|
|
Machine Translation (SP)
|
100% |
577
9.95 IPS |
|
|
Machine Translation (HP)
|
100% |
564
9.71 IPS |
|
|
Machine Translation (Q)
|
57% |
392
9.58 IPS |
