Google Pixel 8
Geekbench AI Score
878
Single Precision Score
1349
Half Precision Score
987
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 15 2025 06:24 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% |
303
56.3 IPS |
|
|
Image Classification (HP)
|
100% |
496
92.2 IPS |
|
|
Image Classification (Q)
|
97% |
334
62.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1343
21.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1902
30.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1508
24.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4972
5.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
12295
14.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
11640
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (HP)
|
99% |
607
48.2 IPS |
|
|
Object Detection (Q)
|
83% |
548
44.3 IPS |
|
|
Face Detection (SP)
|
100% |
2107
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2509
29.8 IPS |
|
|
Face Detection (Q)
|
96% |
2303
27.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3252
25.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
5541
42.8 IPS |
|
|
Depth Estimation (Q)
|
62% |
4374
41.5 IPS |
|
|
Style Transfer (SP)
|
100% |
7490
9.63 IPS |
|
|
Style Transfer (HP)
|
100% |
19556
25.1 IPS |
|
|
Style Transfer (Q)
|
98% |
18425
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1353
50.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2160
79.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2009
74.5 IPS |
|
|
Text Classification (SP)
|
35% |
16
142.2 IPS |
|
|
Text Classification (HP)
|
35% |
17
157.1 IPS |
|
|
Text Classification (Q)
|
32% |
11
148.4 IPS |
|
|
Machine Translation (SP)
|
100% |
248
4.27 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.90 IPS |
|
|
Machine Translation (Q)
|
43% |
67
3.89 IPS |
