Google Pixel 8
Geekbench AI Score
1515
Single Precision Score
1583
Half Precision Score
2738
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | noderaser |
| Upload Date | December 05 2024 09:59 PM |
| Views | 2 |
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% |
821
152.8 IPS |
|
|
Image Classification (HP)
|
100% |
928
172.7 IPS |
|
|
Image Classification (Q)
|
100% |
2345
436.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
993
16.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
941
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2570
41.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2981
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2795
3.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
6293
7.46 IPS |
|
|
Object Detection (SP)
|
98% |
1350
107.4 IPS |
|
|
Object Detection (HP)
|
98% |
1349
107.4 IPS |
|
|
Object Detection (Q)
|
83% |
2204
178.0 IPS |
|
|
Face Detection (SP)
|
100% |
1890
22.5 IPS |
|
|
Face Detection (HP)
|
100% |
2975
35.4 IPS |
|
|
Face Detection (Q)
|
95% |
5523
65.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2865
22.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
2860
22.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
4833
44.3 IPS |
|
|
Style Transfer (SP)
|
89% |
6846
8.89 IPS |
|
|
Style Transfer (HP)
|
89% |
6026
7.82 IPS |
|
|
Style Transfer (Q)
|
98% |
12659
16.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1267
46.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1129
41.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2567
95.1 IPS |
|
|
Text Classification (SP)
|
100% |
433
577.9 IPS |
|
|
Text Classification (HP)
|
99% |
497
662.9 IPS |
|
|
Text Classification (Q)
|
88% |
704
949.4 IPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1049
18.1 IPS |
|
|
Machine Translation (Q)
|
50% |
464
16.5 IPS |
