Google Pixel 8
Geekbench AI Score
924
Single Precision Score
1323
Half Precision Score
1017
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | moumd |
| Upload Date | July 20 2025 01:48 PM |
| Views | 11 |
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 | 7.14 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
418
77.7 IPS |
|
|
Image Classification (HP)
|
100% |
483
89.9 IPS |
|
|
Image Classification (Q)
|
97% |
344
64.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1338
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1774
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1800
29.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4896
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
12308
14.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11894
13.9 IPS |
|
|
Object Detection (SP)
|
100% |
512
40.6 IPS |
|
|
Object Detection (HP)
|
99% |
534
42.4 IPS |
|
|
Object Detection (Q)
|
83% |
531
42.9 IPS |
|
|
Face Detection (SP)
|
100% |
2147
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
2384
28.3 IPS |
|
|
Face Detection (Q)
|
96% |
2449
29.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3308
25.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
5556
42.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
4463
42.4 IPS |
|
|
Style Transfer (SP)
|
100% |
7478
9.61 IPS |
|
|
Style Transfer (HP)
|
100% |
19651
25.3 IPS |
|
|
Style Transfer (Q)
|
98% |
18400
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1664
61.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2138
79.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1993
73.9 IPS |
|
|
Text Classification (SP)
|
35% |
16
141.7 IPS |
|
|
Text Classification (HP)
|
35% |
20
179.0 IPS |
|
|
Text Classification (Q)
|
32% |
11
138.9 IPS |
|
|
Machine Translation (SP)
|
100% |
229
3.94 IPS |
|
|
Machine Translation (HP)
|
100% |
264
4.55 IPS |
|
|
Machine Translation (Q)
|
43% |
69
4.04 IPS |
