Google Pixel 8
Geekbench AI Score
572
Single Precision Score
650
Half Precision Score
600
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 20 2024 06:52 PM |
| Views | 1 |
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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
384
71.4 IPS |
|
|
Image Classification (HP)
|
100% |
373
69.3 IPS |
|
|
Image Classification (Q)
|
99% |
261
48.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
943
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1042
16.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
967
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
670
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
664
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
364
28.9 IPS |
|
|
Object Detection (HP)
|
100% |
437
34.7 IPS |
|
|
Object Detection (Q)
|
83% |
440
35.6 IPS |
|
|
Face Detection (SP)
|
100% |
1511
18.0 IPS |
|
|
Face Detection (HP)
|
100% |
1521
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
1304
15.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
908
6.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
1147
8.84 IPS |
|
|
Depth Estimation (Q)
|
62% |
903
8.54 IPS |
|
|
Style Transfer (SP)
|
100% |
2531
3.25 IPS |
|
|
Style Transfer (HP)
|
100% |
3347
4.30 IPS |
|
|
Style Transfer (Q)
|
98% |
3311
4.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
593
21.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
566
21.0 IPS |
|
|
Text Classification (SP)
|
100% |
163
218.0 IPS |
|
|
Text Classification (HP)
|
100% |
164
218.5 IPS |
|
|
Text Classification (Q)
|
91% |
247
332.3 IPS |
|
|
Machine Translation (SP)
|
100% |
215
3.71 IPS |
|
|
Machine Translation (HP)
|
100% |
211
3.63 IPS |
|
|
Machine Translation (Q)
|
57% |
151
3.69 IPS |
