Google Pixel 8
Geekbench AI Score
922
Single Precision Score
1330
Half Precision Score
1058
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 10:32 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% |
424
78.8 IPS |
|
|
Image Classification (HP)
|
100% |
547
101.7 IPS |
|
|
Image Classification (Q)
|
97% |
538
100.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1475
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1592
25.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1752
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4997
5.83 IPS |
|
|
Pose Estimation (HP)
|
100% |
12386
14.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
11882
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
472
37.4 IPS |
|
|
Object Detection (HP)
|
99% |
524
41.6 IPS |
|
|
Object Detection (Q)
|
83% |
543
43.8 IPS |
|
|
Face Detection (SP)
|
100% |
2144
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
2529
30.0 IPS |
|
|
Face Detection (Q)
|
96% |
2232
26.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
3247
25.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
5377
41.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
4500
42.7 IPS |
|
|
Style Transfer (SP)
|
100% |
7574
9.74 IPS |
|
|
Style Transfer (HP)
|
100% |
19770
25.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18038
23.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1645
60.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2112
78.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1966
72.8 IPS |
|
|
Text Classification (SP)
|
35% |
14
130.8 IPS |
|
|
Text Classification (HP)
|
35% |
18
164.4 IPS |
|
|
Text Classification (Q)
|
32% |
12
155.0 IPS |
|
|
Machine Translation (SP)
|
100% |
248
4.27 IPS |
|
|
Machine Translation (HP)
|
100% |
301
5.19 IPS |
|
|
Machine Translation (Q)
|
43% |
68
3.95 IPS |
