Google Pixel 8
Geekbench AI Score
826
Single Precision Score
1173
Half Precision Score
889
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 30 2025 12:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
381
70.9 IPS |
|
|
Image Classification (HP)
|
100% |
378
70.3 IPS |
|
|
Image Classification (Q)
|
97% |
330
61.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1282
20.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1636
26.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1540
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
4754
5.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
11674
13.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
10800
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
452
35.9 IPS |
|
|
Object Detection (HP)
|
99% |
480
38.1 IPS |
|
|
Object Detection (Q)
|
83% |
447
36.1 IPS |
|
|
Face Detection (SP)
|
100% |
1674
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
2027
24.1 IPS |
|
|
Face Detection (Q)
|
96% |
1893
22.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3098
23.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
4906
37.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
3515
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7360
9.46 IPS |
|
|
Style Transfer (HP)
|
100% |
18833
24.2 IPS |
|
|
Style Transfer (Q)
|
98% |
16888
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1215
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1928
71.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1713
63.5 IPS |
|
|
Text Classification (SP)
|
35% |
15
139.9 IPS |
|
|
Text Classification (HP)
|
35% |
16
144.8 IPS |
|
|
Text Classification (Q)
|
32% |
11
138.4 IPS |
|
|
Machine Translation (SP)
|
100% |
203
3.50 IPS |
|
|
Machine Translation (HP)
|
100% |
247
4.25 IPS |
|
|
Machine Translation (Q)
|
43% |
60
3.50 IPS |
