Google Pixel 8
Geekbench AI Score
909
Single Precision Score
1363
Half Precision Score
1036
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 03:07 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
320
59.5 IPS |
|
|
Image Classification (HP)
|
100% |
420
78.1 IPS |
|
|
Image Classification (Q)
|
97% |
387
72.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1495
24.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2020
32.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1799
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4856
5.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
11926
13.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
11668
13.7 IPS |
|
|
Object Detection (SP)
|
100% |
495
39.3 IPS |
|
|
Object Detection (HP)
|
99% |
621
49.2 IPS |
|
|
Object Detection (Q)
|
83% |
556
44.9 IPS |
|
|
Face Detection (SP)
|
100% |
2083
24.7 IPS |
|
|
Face Detection (HP)
|
100% |
2627
31.2 IPS |
|
|
Face Detection (Q)
|
96% |
2396
28.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3256
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5550
42.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4352
41.3 IPS |
|
|
Style Transfer (SP)
|
100% |
7481
9.62 IPS |
|
|
Style Transfer (HP)
|
100% |
19690
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18537
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1696
62.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2166
80.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2101
77.9 IPS |
|
|
Text Classification (SP)
|
35% |
16
143.0 IPS |
|
|
Text Classification (HP)
|
35% |
20
177.9 IPS |
|
|
Text Classification (Q)
|
32% |
12
150.3 IPS |
|
|
Machine Translation (SP)
|
100% |
244
4.21 IPS |
|
|
Machine Translation (HP)
|
100% |
284
4.88 IPS |
|
|
Machine Translation (Q)
|
43% |
65
3.79 IPS |
