Google Pixel 8
Geekbench AI Score
1466
Single Precision Score
1449
Half Precision Score
2212
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 06 2025 07:34 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1413
262.8 IPS |
|
|
Image Classification (HP)
|
100% |
1370
254.8 IPS |
|
|
Image Classification (Q)
|
100% |
2379
442.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1455
23.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1581
25.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2653
43.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2722
3.18 IPS |
|
|
Pose Estimation (HP)
|
100% |
2244
2.62 IPS |
|
|
Pose Estimation (Q)
|
84% |
4511
5.35 IPS |
|
|
Object Detection (SP)
|
98% |
900
71.7 IPS |
|
|
Object Detection (HP)
|
98% |
968
77.0 IPS |
|
|
Object Detection (Q)
|
83% |
1447
116.9 IPS |
|
|
Face Detection (SP)
|
100% |
2122
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2153
25.6 IPS |
|
|
Face Detection (Q)
|
95% |
3256
38.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
2019
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2070
16.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
3339
30.6 IPS |
|
|
Style Transfer (SP)
|
89% |
5012
6.51 IPS |
|
|
Style Transfer (HP)
|
89% |
5000
6.49 IPS |
|
|
Style Transfer (Q)
|
98% |
9460
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1012
37.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
976
36.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2279
84.4 IPS |
|
|
Text Classification (SP)
|
100% |
440
587.7 IPS |
|
|
Text Classification (HP)
|
99% |
423
565.2 IPS |
|
|
Text Classification (Q)
|
88% |
635
856.9 IPS |
|
|
Machine Translation (SP)
|
100% |
957
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
943
16.2 IPS |
|
|
Machine Translation (Q)
|
50% |
458
16.2 IPS |
