Google Pixel 8
Geekbench AI Score
1853
Single Precision Score
1777
Half Precision Score
2833
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | October 25 2025 10:13 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1552
288.6 IPS |
|
|
Image Classification (HP)
|
100% |
1318
245.1 IPS |
|
|
Image Classification (Q)
|
100% |
2414
448.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1511
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2658
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2960
3.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
2811
3.28 IPS |
|
|
Pose Estimation (Q)
|
84% |
6225
7.38 IPS |
|
|
Object Detection (SP)
|
98% |
1335
106.2 IPS |
|
|
Object Detection (HP)
|
98% |
1341
106.7 IPS |
|
|
Object Detection (Q)
|
83% |
2148
173.5 IPS |
|
|
Face Detection (SP)
|
100% |
2920
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
2887
34.3 IPS |
|
|
Face Detection (Q)
|
95% |
4075
48.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2460
19.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2685
20.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
4746
43.5 IPS |
|
|
Style Transfer (SP)
|
89% |
6727
8.73 IPS |
|
|
Style Transfer (HP)
|
89% |
6520
8.46 IPS |
|
|
Style Transfer (Q)
|
98% |
13095
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1368
50.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1338
49.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3179
117.8 IPS |
|
|
Text Classification (SP)
|
100% |
572
764.1 IPS |
|
|
Text Classification (HP)
|
99% |
581
775.5 IPS |
|
|
Text Classification (Q)
|
88% |
951
1.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
1194
20.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1065
18.3 IPS |
|
|
Machine Translation (Q)
|
50% |
508
18.0 IPS |
