Google Pixel 8
Geekbench AI Score
1952
Single Precision Score
1933
Half Precision Score
3040
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 07:30 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1463
272.0 IPS |
|
|
Image Classification (HP)
|
100% |
1480
275.2 IPS |
|
|
Image Classification (Q)
|
100% |
2460
457.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1720
27.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1716
27.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2747
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2928
3.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
2839
3.31 IPS |
|
|
Pose Estimation (Q)
|
84% |
6475
7.68 IPS |
|
|
Object Detection (SP)
|
98% |
1410
112.2 IPS |
|
|
Object Detection (HP)
|
98% |
1422
113.1 IPS |
|
|
Object Detection (Q)
|
87% |
2059
165.3 IPS |
|
|
Face Detection (SP)
|
100% |
2896
34.4 IPS |
|
|
Face Detection (HP)
|
100% |
3012
35.8 IPS |
|
|
Face Detection (Q)
|
95% |
5294
63.2 IPS |
|
|
Depth Estimation (SP)
|
99% |
2762
21.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
2837
21.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
5761
46.7 IPS |
|
|
Style Transfer (SP)
|
89% |
6786
8.81 IPS |
|
|
Style Transfer (HP)
|
89% |
6688
8.68 IPS |
|
|
Style Transfer (Q)
|
98% |
13413
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1482
54.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1487
54.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3623
134.2 IPS |
|
|
Text Classification (SP)
|
100% |
720
961.4 IPS |
|
|
Text Classification (HP)
|
99% |
681
908.6 IPS |
|
|
Text Classification (Q)
|
88% |
1083
1.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
1340
23.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1228
21.2 IPS |
|
|
Machine Translation (Q)
|
50% |
467
16.6 IPS |
