Google Pixel 8
Geekbench AI Score
1525
Single Precision Score
1520
Half Precision Score
2267
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 13 2025 10:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
1525
283.5 IPS |
|
|
Image Classification (HP)
|
100% |
1551
288.5 IPS |
|
|
Image Classification (Q)
|
100% |
2439
453.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1737
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1609
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2532
41.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2864
3.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
2647
3.09 IPS |
|
|
Pose Estimation (Q)
|
84% |
5719
6.78 IPS |
|
|
Object Detection (SP)
|
98% |
956
76.1 IPS |
|
|
Object Detection (HP)
|
98% |
1071
85.2 IPS |
|
|
Object Detection (Q)
|
83% |
1420
114.7 IPS |
|
|
Face Detection (SP)
|
100% |
2166
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2216
26.3 IPS |
|
|
Face Detection (Q)
|
95% |
3296
39.3 IPS |
|
|
Depth Estimation (SP)
|
99% |
2071
16.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2053
15.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3395
31.1 IPS |
|
|
Style Transfer (SP)
|
89% |
4930
6.40 IPS |
|
|
Style Transfer (HP)
|
89% |
4990
6.48 IPS |
|
|
Style Transfer (Q)
|
98% |
9685
12.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1006
37.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
992
36.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2296
85.1 IPS |
|
|
Text Classification (SP)
|
100% |
451
601.8 IPS |
|
|
Text Classification (HP)
|
99% |
444
593.0 IPS |
|
|
Text Classification (Q)
|
88% |
646
871.2 IPS |
|
|
Machine Translation (SP)
|
100% |
938
16.2 IPS |
|
|
Machine Translation (HP)
|
100% |
936
16.1 IPS |
|
|
Machine Translation (Q)
|
50% |
446
15.8 IPS |
