Google Pixel 8
Geekbench AI Score
361
Single Precision Score
4292
Half Precision Score
7801
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2025 06:34 PM |
| Views | 2 |
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% |
240
44.6 IPS |
|
|
Image Classification (HP)
|
100% |
5535
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
7476
1.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
305
4.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
6937
112.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
14366
233.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
376
0.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
30686
35.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
62233
72.9 IPS |
|
|
Object Detection (SP)
|
100% |
220
17.5 IPS |
|
|
Object Detection (HP)
|
100% |
4433
351.6 IPS |
|
|
Object Detection (Q)
|
87% |
7125
571.6 IPS |
|
|
Face Detection (SP)
|
100% |
524
6.22 IPS |
|
|
Face Detection (HP)
|
100% |
11762
139.8 IPS |
|
|
Face Detection (Q)
|
97% |
24624
293.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
380
2.93 IPS |
|
|
Depth Estimation (HP)
|
99% |
29814
229.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
34416
316.8 IPS |
|
|
Style Transfer (SP)
|
100% |
669
0.86 IPS |
|
|
Style Transfer (HP)
|
100% |
731
0.94 IPS |
|
|
Style Transfer (Q)
|
73% |
2995
4.10 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
256
9.45 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8316
307.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13667
506.4 IPS |
|
|
Text Classification (SP)
|
100% |
352
469.5 IPS |
|
|
Text Classification (HP)
|
100% |
370
494.1 IPS |
|
|
Text Classification (Q)
|
92% |
1501
2.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
528
9.10 IPS |
|
|
Machine Translation (HP)
|
100% |
515
8.87 IPS |
|
|
Machine Translation (Q)
|
57% |
337
8.23 IPS |
