Google Pixel 8
Geekbench AI Score
373
Single Precision Score
4271
Half Precision Score
7158
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 11:53 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
257
47.7 IPS |
|
|
Image Classification (HP)
|
100% |
5725
1.06 KIPS |
|
|
Image Classification (Q)
|
99% |
5733
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
280
4.54 IPS |
|
|
Image Segmentation (HP)
|
100% |
7630
123.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
13558
220.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
391
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
31650
36.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
62256
72.9 IPS |
|
|
Object Detection (SP)
|
100% |
231
18.3 IPS |
|
|
Object Detection (HP)
|
100% |
3903
309.6 IPS |
|
|
Object Detection (Q)
|
87% |
4589
368.1 IPS |
|
|
Face Detection (SP)
|
100% |
579
6.88 IPS |
|
|
Face Detection (HP)
|
100% |
13802
164.0 IPS |
|
|
Face Detection (Q)
|
97% |
25254
301.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
504
3.88 IPS |
|
|
Depth Estimation (HP)
|
99% |
29341
226.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
34848
320.8 IPS |
|
|
Style Transfer (SP)
|
100% |
735
0.95 IPS |
|
|
Style Transfer (HP)
|
100% |
696
0.89 IPS |
|
|
Style Transfer (Q)
|
73% |
2838
3.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
259
9.58 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8368
309.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14933
553.4 IPS |
|
|
Text Classification (SP)
|
100% |
294
393.0 IPS |
|
|
Text Classification (HP)
|
100% |
319
425.4 IPS |
|
|
Text Classification (Q)
|
92% |
1333
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
495
8.53 IPS |
|
|
Machine Translation (HP)
|
100% |
498
8.57 IPS |
|
|
Machine Translation (Q)
|
57% |
320
7.83 IPS |
