Google Pixel 8
Geekbench AI Score
1515
Single Precision Score
1574
Half Precision Score
2466
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | rgba |
| Upload Date | March 30 2025 10:32 PM |
| Views | 18 |
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% |
921
171.2 IPS |
|
|
Image Classification (HP)
|
100% |
1394
259.2 IPS |
|
|
Image Classification (Q)
|
100% |
2564
476.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1658
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1610
26.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2605
42.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2751
3.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
2705
3.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
6190
7.34 IPS |
|
|
Object Detection (SP)
|
98% |
1288
102.5 IPS |
|
|
Object Detection (HP)
|
98% |
1156
92.0 IPS |
|
|
Object Detection (Q)
|
83% |
1975
159.5 IPS |
|
|
Face Detection (SP)
|
100% |
2506
29.8 IPS |
|
|
Face Detection (HP)
|
100% |
2436
28.9 IPS |
|
|
Face Detection (Q)
|
95% |
4318
51.6 IPS |
|
|
Depth Estimation (SP)
|
99% |
2363
18.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2361
18.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3284
30.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5236
6.80 IPS |
|
|
Style Transfer (HP)
|
89% |
5338
6.93 IPS |
|
|
Style Transfer (Q)
|
98% |
9618
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
977
36.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1016
37.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2299
85.2 IPS |
|
|
Text Classification (SP)
|
100% |
405
541.1 IPS |
|
|
Text Classification (HP)
|
99% |
447
596.7 IPS |
|
|
Text Classification (Q)
|
88% |
735
991.6 IPS |
|
|
Machine Translation (SP)
|
100% |
961
16.6 IPS |
|
|
Machine Translation (HP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (Q)
|
50% |
442
15.7 IPS |
