Google Pixel 8
Geekbench AI Score
1597
Single Precision Score
1816
Half Precision Score
2556
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| Upload Date | April 16 2026 03:52 PM |
| Views | 3 |
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% |
1540
286.4 IPS |
|
|
Image Classification (HP)
|
100% |
1280
238.1 IPS |
|
|
Image Classification (Q)
|
99% |
2397
447.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1742
28.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1491
24.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
2819
45.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2711
3.16 IPS |
|
|
Pose Estimation (HP)
|
92% |
5486
6.44 IPS |
|
|
Pose Estimation (Q)
|
96% |
6262
7.34 IPS |
|
|
Object Detection (SP)
|
98% |
1180
93.9 IPS |
|
|
Object Detection (HP)
|
97% |
976
77.7 IPS |
|
|
Object Detection (Q)
|
85% |
1884
151.8 IPS |
|
|
Face Detection (SP)
|
100% |
2629
31.2 IPS |
|
|
Face Detection (HP)
|
100% |
2729
32.4 IPS |
|
|
Face Detection (Q)
|
97% |
3895
46.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2111
16.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3170
24.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
3406
31.3 IPS |
|
|
Style Transfer (SP)
|
89% |
5042
6.54 IPS |
|
|
Style Transfer (HP)
|
88% |
4779
6.21 IPS |
|
|
Style Transfer (Q)
|
98% |
9620
12.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1075
39.7 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1598
59.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2435
90.2 IPS |
|
|
Text Classification (SP)
|
100% |
420
560.8 IPS |
|
|
Text Classification (HP)
|
100% |
618
825.3 IPS |
|
|
Text Classification (Q)
|
93% |
758
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
1000
17.2 IPS |
|
|
Machine Translation (HP)
|
96% |
937
16.2 IPS |
|
|
Machine Translation (Q)
|
55% |
635
17.1 IPS |
