Google Pixel 8
Geekbench AI Score
919
Single Precision Score
1426
Half Precision Score
1014
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | yvectorfield |
| Upload Date | March 12 2026 04:41 AM |
| Views | 7 |
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 | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
429
79.8 IPS |
|
|
Image Classification (HP)
|
100% |
459
85.3 IPS |
|
|
Image Classification (Q)
|
97% |
303
56.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1404
22.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
2457
39.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1670
27.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4938
5.76 IPS |
|
|
Pose Estimation (HP)
|
100% |
12007
14.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
11814
13.8 IPS |
|
|
Object Detection (SP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (HP)
|
99% |
825
65.5 IPS |
|
|
Object Detection (Q)
|
83% |
566
45.7 IPS |
|
|
Face Detection (SP)
|
100% |
2122
25.2 IPS |
|
|
Face Detection (HP)
|
100% |
2510
29.8 IPS |
|
|
Face Detection (Q)
|
96% |
2380
28.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3287
25.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
5636
43.6 IPS |
|
|
Depth Estimation (Q)
|
62% |
4432
42.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7479
9.61 IPS |
|
|
Style Transfer (HP)
|
100% |
19580
25.2 IPS |
|
|
Style Transfer (Q)
|
98% |
18458
23.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1536
56.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2148
79.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2001
74.2 IPS |
|
|
Text Classification (SP)
|
35% |
15
132.0 IPS |
|
|
Text Classification (HP)
|
35% |
18
161.5 IPS |
|
|
Text Classification (Q)
|
32% |
12
153.1 IPS |
|
|
Machine Translation (SP)
|
100% |
244
4.21 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.02 IPS |
|
|
Machine Translation (Q)
|
43% |
73
4.25 IPS |
