Google Pixel 8
Geekbench AI Score
1398
Single Precision Score
1373
Half Precision Score
2098
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | tocophonic |
| Upload Date | November 18 2025 12:46 PM |
| Views | 9 |
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 | 7.38 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1387
257.9 IPS |
|
|
Image Classification (HP)
|
100% |
1327
246.7 IPS |
|
|
Image Classification (Q)
|
100% |
2310
429.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1376
22.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1516
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2358
38.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2287
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
1851
2.16 IPS |
|
|
Pose Estimation (Q)
|
84% |
4667
5.54 IPS |
|
|
Object Detection (SP)
|
98% |
860
68.5 IPS |
|
|
Object Detection (HP)
|
98% |
930
74.0 IPS |
|
|
Object Detection (Q)
|
83% |
1279
103.3 IPS |
|
|
Face Detection (SP)
|
100% |
2110
25.1 IPS |
|
|
Face Detection (HP)
|
100% |
2113
25.1 IPS |
|
|
Face Detection (Q)
|
95% |
3098
37.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
1827
14.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1845
14.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
3017
27.6 IPS |
|
|
Style Transfer (SP)
|
89% |
4816
6.25 IPS |
|
|
Style Transfer (HP)
|
89% |
4480
5.82 IPS |
|
|
Style Transfer (Q)
|
98% |
9146
11.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1010
37.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1006
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2208
81.8 IPS |
|
|
Text Classification (SP)
|
100% |
441
588.8 IPS |
|
|
Text Classification (HP)
|
99% |
439
585.5 IPS |
|
|
Text Classification (Q)
|
88% |
634
855.4 IPS |
|
|
Machine Translation (SP)
|
100% |
925
15.9 IPS |
|
|
Machine Translation (HP)
|
100% |
894
15.4 IPS |
|
|
Machine Translation (Q)
|
50% |
426
15.1 IPS |
