Google Pixel 8
Geekbench AI Score
1983
Single Precision Score
2313
Half Precision Score
3311
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | yvectorfield |
| Upload Date | March 12 2026 04:35 AM |
| Views | 7 |
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 | 7.39 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1564
290.8 IPS |
|
|
Image Classification (HP)
|
100% |
1274
237.0 IPS |
|
|
Image Classification (Q)
|
99% |
2459
458.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1754
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1571
25.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2672
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
3063
3.57 IPS |
|
|
Pose Estimation (HP)
|
92% |
5930
6.96 IPS |
|
|
Pose Estimation (Q)
|
96% |
6781
7.95 IPS |
|
|
Object Detection (SP)
|
98% |
1374
109.3 IPS |
|
|
Object Detection (HP)
|
97% |
1089
86.7 IPS |
|
|
Object Detection (Q)
|
85% |
2272
183.0 IPS |
|
|
Face Detection (SP)
|
100% |
3026
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
3729
44.3 IPS |
|
|
Face Detection (Q)
|
97% |
5259
62.7 IPS |
|
|
Depth Estimation (SP)
|
99% |
2765
21.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4204
32.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
5008
46.0 IPS |
|
|
Style Transfer (SP)
|
89% |
7170
9.31 IPS |
|
|
Style Transfer (HP)
|
88% |
7050
9.15 IPS |
|
|
Style Transfer (Q)
|
98% |
14241
18.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1506
55.6 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
2496
92.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3869
143.4 IPS |
|
|
Text Classification (SP)
|
100% |
667
889.8 IPS |
|
|
Text Classification (HP)
|
100% |
949
1.27 KIPS |
|
|
Text Classification (Q)
|
93% |
1169
1.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
1357
23.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1299
22.5 IPS |
|
|
Machine Translation (Q)
|
55% |
923
24.8 IPS |
