Google Pixel 8
Geekbench AI Score
679
Single Precision Score
784
Half Precision Score
720
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 12:09 AM |
| 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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
360
66.9 IPS |
|
|
Image Classification (HP)
|
100% |
386
71.7 IPS |
|
|
Image Classification (Q)
|
99% |
284
52.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
956
15.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1048
17.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
908
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
670
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
663
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
322
25.6 IPS |
|
|
Object Detection (HP)
|
100% |
404
32.0 IPS |
|
|
Object Detection (Q)
|
83% |
421
34.1 IPS |
|
|
Face Detection (SP)
|
100% |
1296
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1372
16.3 IPS |
|
|
Face Detection (Q)
|
97% |
1183
14.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
911
7.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
1114
8.58 IPS |
|
|
Depth Estimation (Q)
|
62% |
908
8.60 IPS |
|
|
Style Transfer (SP)
|
100% |
2523
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3340
4.29 IPS |
|
|
Style Transfer (Q)
|
98% |
3299
4.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
588
21.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
571
21.2 IPS |
|
|
Text Classification (SP)
|
100% |
432
577.2 IPS |
|
|
Text Classification (HP)
|
100% |
437
583.1 IPS |
|
|
Text Classification (Q)
|
91% |
630
847.1 IPS |
|
|
Machine Translation (SP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
57% |
412
10.1 IPS |
