Google Pixel 8
Geekbench AI Score
839
Single Precision Score
1202
Half Precision Score
952
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 25 2025 10:22 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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 | 7.43 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
341
63.4 IPS |
|
|
Image Classification (HP)
|
100% |
469
87.1 IPS |
|
|
Image Classification (Q)
|
97% |
398
74.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1273
20.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
1803
29.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1469
23.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4768
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
11550
13.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
10677
12.5 IPS |
|
|
Object Detection (SP)
|
100% |
405
32.2 IPS |
|
|
Object Detection (HP)
|
99% |
480
38.0 IPS |
|
|
Object Detection (Q)
|
83% |
401
32.4 IPS |
|
|
Face Detection (SP)
|
100% |
2295
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
1930
22.9 IPS |
|
|
Face Detection (Q)
|
96% |
2448
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3022
23.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5170
40.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
4034
38.3 IPS |
|
|
Style Transfer (SP)
|
100% |
5675
7.30 IPS |
|
|
Style Transfer (HP)
|
100% |
15849
20.4 IPS |
|
|
Style Transfer (Q)
|
98% |
14497
18.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1149
42.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1230
45.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1401
51.9 IPS |
|
|
Text Classification (SP)
|
35% |
15
134.5 IPS |
|
|
Text Classification (HP)
|
29% |
16
283.7 IPS |
|
|
Text Classification (Q)
|
32% |
12
155.8 IPS |
|
|
Machine Translation (SP)
|
100% |
307
5.29 IPS |
|
|
Machine Translation (HP)
|
100% |
435
7.49 IPS |
|
|
Machine Translation (Q)
|
43% |
102
5.95 IPS |
