Google Pixel 8
Geekbench AI Score
1398
Single Precision Score
1175
Half Precision Score
2283
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | rgba |
| Upload Date | September 07 2024 08:06 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1492
277.5 IPS |
|
|
Image Classification (HP)
|
100% |
926
172.2 IPS |
|
|
Image Classification (Q)
|
100% |
2374
441.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1744
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2672
43.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3066
3.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
1642
1.92 IPS |
|
|
Pose Estimation (Q)
|
84% |
6415
7.61 IPS |
|
|
Object Detection (SP)
|
98% |
603
48.0 IPS |
|
|
Object Detection (HP)
|
98% |
613
48.8 IPS |
|
|
Object Detection (Q)
|
83% |
977
78.9 IPS |
|
|
Face Detection (SP)
|
100% |
1206
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1197
14.2 IPS |
|
|
Face Detection (Q)
|
95% |
2409
28.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
1585
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1454
11.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
5182
47.5 IPS |
|
|
Style Transfer (SP)
|
89% |
5392
7.00 IPS |
|
|
Style Transfer (HP)
|
89% |
6420
8.33 IPS |
|
|
Style Transfer (Q)
|
98% |
12818
16.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
714
26.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
638
23.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1560
57.8 IPS |
|
|
Text Classification (SP)
|
100% |
664
885.7 IPS |
|
|
Text Classification (HP)
|
99% |
729
973.3 IPS |
|
|
Text Classification (Q)
|
88% |
1082
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1215
20.9 IPS |
|
|
Machine Translation (HP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (Q)
|
50% |
359
12.7 IPS |
