Google Pixel 8
Geekbench AI Score
416
Single Precision Score
4371
Half Precision Score
7881
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | December 03 2025 06:58 PM |
| Views | 1 |
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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
269
50.0 IPS |
|
|
Image Classification (HP)
|
100% |
5387
1.00 KIPS |
|
|
Image Classification (Q)
|
99% |
7948
1.48 KIPS |
|
|
Image Segmentation (SP)
|
100% |
343
5.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
5675
92.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
14142
230.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
417
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
31018
36.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
62199
72.8 IPS |
|
|
Object Detection (SP)
|
100% |
223
17.7 IPS |
|
|
Object Detection (HP)
|
100% |
4178
331.4 IPS |
|
|
Object Detection (Q)
|
87% |
5358
429.8 IPS |
|
|
Face Detection (SP)
|
100% |
614
7.29 IPS |
|
|
Face Detection (HP)
|
100% |
14613
173.6 IPS |
|
|
Face Detection (Q)
|
97% |
26840
320.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
522
4.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
27703
213.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
34461
317.2 IPS |
|
|
Style Transfer (SP)
|
100% |
812
1.04 IPS |
|
|
Style Transfer (HP)
|
100% |
813
1.05 IPS |
|
|
Style Transfer (Q)
|
72% |
3056
4.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
292
10.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8502
313.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
14091
522.2 IPS |
|
|
Text Classification (SP)
|
100% |
406
542.2 IPS |
|
|
Text Classification (HP)
|
100% |
400
533.8 IPS |
|
|
Text Classification (Q)
|
92% |
1605
2.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
589
10.1 IPS |
|
|
Machine Translation (HP)
|
100% |
575
9.91 IPS |
|
|
Machine Translation (Q)
|
57% |
386
9.44 IPS |
