Google Pixel 8
Geekbench AI Score
1266
Single Precision Score
1272
Half Precision Score
1853
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | greedus |
| Upload Date | April 13 2025 06:18 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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1181
219.7 IPS |
|
|
Image Classification (HP)
|
100% |
1323
246.0 IPS |
|
|
Image Classification (Q)
|
100% |
2247
417.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1167
18.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1269
20.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2128
34.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2174
2.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
1995
2.33 IPS |
|
|
Pose Estimation (Q)
|
84% |
3351
3.97 IPS |
|
|
Object Detection (SP)
|
98% |
698
55.6 IPS |
|
|
Object Detection (HP)
|
98% |
694
55.2 IPS |
|
|
Object Detection (Q)
|
83% |
975
78.8 IPS |
|
|
Face Detection (SP)
|
100% |
2086
24.8 IPS |
|
|
Face Detection (HP)
|
100% |
2078
24.7 IPS |
|
|
Face Detection (Q)
|
95% |
3326
39.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2052
15.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
2063
15.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3068
28.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4981
6.47 IPS |
|
|
Style Transfer (HP)
|
89% |
4970
6.45 IPS |
|
|
Style Transfer (Q)
|
98% |
8329
10.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
840
31.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
795
29.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1636
60.6 IPS |
|
|
Text Classification (SP)
|
100% |
307
409.4 IPS |
|
|
Text Classification (HP)
|
99% |
306
408.5 IPS |
|
|
Text Classification (Q)
|
88% |
509
686.2 IPS |
|
|
Machine Translation (SP)
|
100% |
922
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
922
15.9 IPS |
|
|
Machine Translation (Q)
|
50% |
432
15.3 IPS |
