Google Pixel 8
Geekbench AI Score
834
Single Precision Score
1243
Half Precision Score
875
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 29 2025 11:44 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
377
70.1 IPS |
|
|
Image Classification (HP)
|
100% |
350
65.0 IPS |
|
|
Image Classification (Q)
|
97% |
253
47.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1341
21.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1887
30.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1216
19.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4763
5.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
11750
13.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
10985
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
435
34.5 IPS |
|
|
Object Detection (HP)
|
99% |
447
35.4 IPS |
|
|
Object Detection (Q)
|
83% |
498
40.2 IPS |
|
|
Face Detection (SP)
|
100% |
1797
21.4 IPS |
|
|
Face Detection (HP)
|
100% |
2186
26.0 IPS |
|
|
Face Detection (Q)
|
96% |
2077
24.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
3104
23.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
5065
39.1 IPS |
|
|
Depth Estimation (Q)
|
62% |
4223
40.1 IPS |
|
|
Style Transfer (SP)
|
100% |
7316
9.40 IPS |
|
|
Style Transfer (HP)
|
100% |
18554
23.9 IPS |
|
|
Style Transfer (Q)
|
98% |
16819
21.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1216
44.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1911
70.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1622
60.1 IPS |
|
|
Text Classification (SP)
|
35% |
15
136.3 IPS |
|
|
Text Classification (HP)
|
35% |
19
174.4 IPS |
|
|
Text Classification (Q)
|
32% |
11
139.4 IPS |
|
|
Machine Translation (SP)
|
100% |
210
3.62 IPS |
|
|
Machine Translation (HP)
|
100% |
343
5.91 IPS |
|
|
Machine Translation (Q)
|
43% |
60
3.47 IPS |
