Google Pixel 8
Geekbench AI Score
621
Single Precision Score
705
Half Precision Score
675
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 07:41 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
364
67.7 IPS |
|
|
Image Classification (HP)
|
100% |
444
82.5 IPS |
|
|
Image Classification (Q)
|
99% |
243
45.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
882
14.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
933
15.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
951
15.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
666
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
662
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (HP)
|
100% |
275
21.8 IPS |
|
|
Object Detection (Q)
|
83% |
318
25.7 IPS |
|
|
Face Detection (SP)
|
100% |
1117
13.3 IPS |
|
|
Face Detection (HP)
|
100% |
1202
14.3 IPS |
|
|
Face Detection (Q)
|
97% |
1169
13.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
899
6.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
1092
8.42 IPS |
|
|
Depth Estimation (Q)
|
62% |
886
8.39 IPS |
|
|
Style Transfer (SP)
|
100% |
2476
3.18 IPS |
|
|
Style Transfer (HP)
|
100% |
3224
4.14 IPS |
|
|
Style Transfer (Q)
|
98% |
3285
4.24 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
454
16.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
508
18.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
499
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
367
489.5 IPS |
|
|
Text Classification (HP)
|
100% |
335
446.8 IPS |
|
|
Text Classification (Q)
|
91% |
615
826.1 IPS |
|
|
Machine Translation (SP)
|
100% |
558
9.61 IPS |
|
|
Machine Translation (HP)
|
100% |
557
9.60 IPS |
|
|
Machine Translation (Q)
|
57% |
389
9.50 IPS |
