Google Pixel 8
Geekbench AI Score
1643
Single Precision Score
1644
Half Precision Score
2320
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | mkacer |
| Upload Date | July 03 2025 04:09 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1458
271.1 IPS |
|
|
Image Classification (HP)
|
100% |
1561
290.4 IPS |
|
|
Image Classification (Q)
|
100% |
2379
442.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1800
29.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1728
28.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
2655
43.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2986
3.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
2792
3.26 IPS |
|
|
Pose Estimation (Q)
|
84% |
6330
7.51 IPS |
|
|
Object Detection (SP)
|
98% |
1368
108.9 IPS |
|
|
Object Detection (HP)
|
98% |
1316
104.7 IPS |
|
|
Object Detection (Q)
|
83% |
1922
155.3 IPS |
|
|
Face Detection (SP)
|
100% |
2689
31.9 IPS |
|
|
Face Detection (HP)
|
100% |
2637
31.3 IPS |
|
|
Face Detection (Q)
|
95% |
4426
52.8 IPS |
|
|
Depth Estimation (SP)
|
99% |
2405
18.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2564
19.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3860
35.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5396
7.00 IPS |
|
|
Style Transfer (HP)
|
89% |
5415
7.03 IPS |
|
|
Style Transfer (Q)
|
98% |
9163
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1019
37.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1014
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2376
88.1 IPS |
|
|
Text Classification (SP)
|
100% |
406
542.5 IPS |
|
|
Text Classification (HP)
|
99% |
430
573.5 IPS |
|
|
Text Classification (Q)
|
88% |
363
489.5 IPS |
|
|
Machine Translation (SP)
|
100% |
929
16.0 IPS |
|
|
Machine Translation (HP)
|
100% |
914
15.7 IPS |
|
|
Machine Translation (Q)
|
50% |
437
15.5 IPS |
