Google Pixel 8
Geekbench AI Score
1939
Single Precision Score
1915
Half Precision Score
3129
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | November 07 2025 02:58 PM |
| Views | 1 |
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% |
1543
287.0 IPS |
|
|
Image Classification (HP)
|
100% |
1554
289.1 IPS |
|
|
Image Classification (Q)
|
100% |
2419
449.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1675
27.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1756
28.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2820
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2933
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2781
3.25 IPS |
|
|
Pose Estimation (Q)
|
84% |
6357
7.54 IPS |
|
|
Object Detection (SP)
|
98% |
1364
108.5 IPS |
|
|
Object Detection (HP)
|
98% |
1366
108.7 IPS |
|
|
Object Detection (Q)
|
83% |
2324
187.7 IPS |
|
|
Face Detection (SP)
|
100% |
2980
35.4 IPS |
|
|
Face Detection (HP)
|
100% |
2899
34.4 IPS |
|
|
Face Detection (Q)
|
95% |
5059
60.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2845
22.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2855
22.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
5033
46.1 IPS |
|
|
Style Transfer (SP)
|
89% |
6680
8.67 IPS |
|
|
Style Transfer (HP)
|
89% |
6747
8.76 IPS |
|
|
Style Transfer (Q)
|
98% |
13092
16.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1427
52.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1405
51.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3657
135.5 IPS |
|
|
Text Classification (SP)
|
100% |
725
967.6 IPS |
|
|
Text Classification (HP)
|
99% |
678
904.8 IPS |
|
|
Text Classification (Q)
|
88% |
1171
1.58 KIPS |
|
|
Machine Translation (SP)
|
100% |
1242
21.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1207
20.8 IPS |
|
|
Machine Translation (Q)
|
50% |
626
22.2 IPS |
