Google Pixel 8
Geekbench AI Score
1614
Single Precision Score
1644
Half Precision Score
3199
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 26 2024 01:30 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1418
263.7 IPS |
|
|
Image Classification (HP)
|
100% |
844
156.9 IPS |
|
|
Image Classification (Q)
|
100% |
2550
474.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1081
17.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
961
15.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2199
35.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3298
3.85 IPS |
|
|
Pose Estimation (HP)
|
100% |
3014
3.52 IPS |
|
|
Pose Estimation (Q)
|
84% |
6748
8.00 IPS |
|
|
Object Detection (SP)
|
98% |
866
68.9 IPS |
|
|
Object Detection (HP)
|
98% |
909
72.3 IPS |
|
|
Object Detection (Q)
|
83% |
2305
186.2 IPS |
|
|
Face Detection (SP)
|
100% |
2021
24.0 IPS |
|
|
Face Detection (HP)
|
100% |
3091
36.7 IPS |
|
|
Face Detection (Q)
|
95% |
5625
67.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
1762
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1798
13.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
4812
44.1 IPS |
|
|
Style Transfer (SP)
|
89% |
7734
10.0 IPS |
|
|
Style Transfer (HP)
|
89% |
7428
9.64 IPS |
|
|
Style Transfer (Q)
|
98% |
15072
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1577
58.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1578
58.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3847
142.6 IPS |
|
|
Text Classification (SP)
|
100% |
755
1.01 KIPS |
|
|
Text Classification (HP)
|
99% |
759
1.01 KIPS |
|
|
Text Classification (Q)
|
88% |
1198
1.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
839
14.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1318
22.7 IPS |
|
|
Machine Translation (Q)
|
50% |
685
24.3 IPS |
