Google Pixel 8
Geekbench AI Score
1481
Single Precision Score
1472
Half Precision Score
2305
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 04:02 AM |
| 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% |
1494
277.8 IPS |
|
|
Image Classification (HP)
|
100% |
931
173.2 IPS |
|
|
Image Classification (Q)
|
100% |
2598
483.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1051
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1794
29.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2578
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2919
3.41 IPS |
|
|
Pose Estimation (HP)
|
100% |
2676
3.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
5091
6.04 IPS |
|
|
Object Detection (SP)
|
98% |
1095
87.2 IPS |
|
|
Object Detection (HP)
|
98% |
1066
84.8 IPS |
|
|
Object Detection (Q)
|
83% |
1369
110.6 IPS |
|
|
Face Detection (SP)
|
100% |
2198
26.1 IPS |
|
|
Face Detection (HP)
|
100% |
2191
26.0 IPS |
|
|
Face Detection (Q)
|
95% |
3344
39.9 IPS |
|
|
Depth Estimation (SP)
|
99% |
1992
15.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2112
16.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3418
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5099
6.62 IPS |
|
|
Style Transfer (HP)
|
89% |
4984
6.47 IPS |
|
|
Style Transfer (Q)
|
98% |
9438
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1029
38.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1004
37.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2408
89.2 IPS |
|
|
Text Classification (SP)
|
100% |
454
606.6 IPS |
|
|
Text Classification (HP)
|
99% |
450
600.3 IPS |
|
|
Text Classification (Q)
|
88% |
742
1.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
972
16.7 IPS |
|
|
Machine Translation (HP)
|
100% |
964
16.6 IPS |
|
|
Machine Translation (Q)
|
50% |
472
16.8 IPS |
