Google Pixel 8
Geekbench AI Score
652
Single Precision Score
765
Half Precision Score
717
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dr904 |
| Upload Date | December 08 2024 12:29 PM |
| Views | 5 |
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% |
354
65.9 IPS |
|
|
Image Classification (HP)
|
100% |
390
72.5 IPS |
|
|
Image Classification (Q)
|
99% |
302
56.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
924
15.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1007
16.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1030
16.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
670
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
664
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
315
25.0 IPS |
|
|
Object Detection (HP)
|
100% |
402
31.9 IPS |
|
|
Object Detection (Q)
|
83% |
420
34.0 IPS |
|
|
Face Detection (SP)
|
100% |
1228
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1471
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
1234
14.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
910
7.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
1121
8.64 IPS |
|
|
Depth Estimation (Q)
|
62% |
907
8.59 IPS |
|
|
Style Transfer (SP)
|
100% |
2523
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3353
4.31 IPS |
|
|
Style Transfer (Q)
|
98% |
3257
4.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
495
18.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
557
20.6 IPS |
|
|
Text Classification (SP)
|
100% |
372
496.4 IPS |
|
|
Text Classification (HP)
|
100% |
378
505.2 IPS |
|
|
Text Classification (Q)
|
91% |
578
776.7 IPS |
|
|
Machine Translation (SP)
|
100% |
542
9.33 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.18 IPS |
|
|
Machine Translation (Q)
|
57% |
355
8.68 IPS |
