Google Pixel 8
Geekbench AI Score
1516
Single Precision Score
1408
Half Precision Score
2317
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | dr904 |
| Upload Date | December 08 2024 12:19 PM |
| Views | 4 |
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 | 7.42 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1128
209.8 IPS |
|
|
Image Classification (HP)
|
100% |
775
144.1 IPS |
|
|
Image Classification (Q)
|
100% |
2520
468.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1631
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1508
24.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2674
43.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2870
3.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
2740
3.20 IPS |
|
|
Pose Estimation (Q)
|
84% |
5682
6.74 IPS |
|
|
Object Detection (SP)
|
98% |
1076
85.6 IPS |
|
|
Object Detection (HP)
|
98% |
999
79.5 IPS |
|
|
Object Detection (Q)
|
83% |
1401
113.2 IPS |
|
|
Face Detection (SP)
|
100% |
2298
27.3 IPS |
|
|
Face Detection (HP)
|
100% |
2203
26.2 IPS |
|
|
Face Detection (Q)
|
95% |
3365
40.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2032
15.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1968
15.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3394
31.1 IPS |
|
|
Style Transfer (SP)
|
89% |
5059
6.57 IPS |
|
|
Style Transfer (HP)
|
89% |
5060
6.57 IPS |
|
|
Style Transfer (Q)
|
98% |
9560
12.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1058
39.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1055
39.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2290
84.9 IPS |
|
|
Text Classification (SP)
|
100% |
454
605.7 IPS |
|
|
Text Classification (HP)
|
99% |
437
583.8 IPS |
|
|
Text Classification (Q)
|
88% |
745
1.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
998
17.2 IPS |
|
|
Machine Translation (HP)
|
100% |
947
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
447
15.9 IPS |
