Google Pixel 8
Geekbench AI Score
674
Single Precision Score
795
Half Precision Score
720
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 01:52 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% |
351
65.3 IPS |
|
|
Image Classification (HP)
|
100% |
399
74.1 IPS |
|
|
Image Classification (Q)
|
99% |
245
45.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
932
15.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1071
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
910
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
479
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
671
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
665
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
331
26.3 IPS |
|
|
Object Detection (HP)
|
100% |
414
32.9 IPS |
|
|
Object Detection (Q)
|
83% |
434
35.1 IPS |
|
|
Face Detection (SP)
|
100% |
1246
14.8 IPS |
|
|
Face Detection (HP)
|
100% |
1475
17.5 IPS |
|
|
Face Detection (Q)
|
97% |
1358
16.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
915
7.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
1119
8.62 IPS |
|
|
Depth Estimation (Q)
|
62% |
906
8.57 IPS |
|
|
Style Transfer (SP)
|
100% |
2517
3.24 IPS |
|
|
Style Transfer (HP)
|
100% |
3362
4.32 IPS |
|
|
Style Transfer (Q)
|
98% |
3300
4.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
497
18.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
567
21.0 IPS |
|
|
Text Classification (SP)
|
100% |
428
571.5 IPS |
|
|
Text Classification (HP)
|
100% |
432
576.3 IPS |
|
|
Text Classification (Q)
|
91% |
625
840.7 IPS |
|
|
Machine Translation (SP)
|
100% |
618
10.6 IPS |
|
|
Machine Translation (HP)
|
100% |
606
10.4 IPS |
|
|
Machine Translation (Q)
|
57% |
409
10.0 IPS |
