Google Pixel 8
Geekbench AI Score
396
Single Precision Score
4296
Half Precision Score
7443
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | yvectorfield |
| Upload Date | March 12 2026 04:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
259
48.1 IPS |
|
|
Image Classification (HP)
|
100% |
5607
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
7636
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
291
4.72 IPS |
|
|
Image Segmentation (HP)
|
100% |
8942
145.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15434
251.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
395
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
30886
36.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
61790
72.4 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
4169
330.7 IPS |
|
|
Object Detection (Q)
|
87% |
5133
411.7 IPS |
|
|
Face Detection (SP)
|
100% |
566
6.73 IPS |
|
|
Face Detection (HP)
|
100% |
12428
147.7 IPS |
|
|
Face Detection (Q)
|
97% |
24762
295.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
515
3.97 IPS |
|
|
Depth Estimation (HP)
|
99% |
28684
221.0 IPS |
|
|
Depth Estimation (Q)
|
64% |
33791
311.0 IPS |
|
|
Style Transfer (SP)
|
100% |
788
1.01 IPS |
|
|
Style Transfer (HP)
|
100% |
787
1.01 IPS |
|
|
Style Transfer (Q)
|
98% |
1893
2.44 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
271
10.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8063
297.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14022
519.6 IPS |
|
|
Text Classification (SP)
|
100% |
389
519.1 IPS |
|
|
Text Classification (HP)
|
100% |
263
350.6 IPS |
|
|
Text Classification (Q)
|
92% |
1678
2.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
553
9.53 IPS |
|
|
Machine Translation (HP)
|
100% |
558
9.62 IPS |
|
|
Machine Translation (Q)
|
57% |
375
9.18 IPS |
