Google Pixel 8
Geekbench AI Score
1355
Single Precision Score
1127
Half Precision Score
1519
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| Upload Date | August 16 2024 09:41 PM |
| Views | 4 |
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% |
1482
275.6 IPS |
|
|
Image Classification (HP)
|
100% |
773
143.8 IPS |
|
|
Image Classification (Q)
|
100% |
2579
479.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
967
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
676
11.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
963
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2317
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
1463
1.71 IPS |
|
|
Pose Estimation (Q)
|
84% |
2496
2.96 IPS |
|
|
Object Detection (SP)
|
98% |
1015
80.8 IPS |
|
|
Object Detection (HP)
|
98% |
932
74.2 IPS |
|
|
Object Detection (Q)
|
87% |
726
58.3 IPS |
|
|
Face Detection (SP)
|
100% |
2172
25.8 IPS |
|
|
Face Detection (HP)
|
100% |
2231
26.5 IPS |
|
|
Face Detection (Q)
|
95% |
3229
38.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2025
15.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2029
15.7 IPS |
|
|
Depth Estimation (Q)
|
75% |
3850
31.2 IPS |
|
|
Style Transfer (SP)
|
89% |
5058
6.57 IPS |
|
|
Style Transfer (HP)
|
89% |
4718
6.12 IPS |
|
|
Style Transfer (Q)
|
98% |
5642
7.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
995
36.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1042
38.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1312
48.6 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.4 IPS |
|
|
Text Classification (HP)
|
99% |
221
294.4 IPS |
|
|
Text Classification (Q)
|
88% |
634
854.7 IPS |
|
|
Machine Translation (SP)
|
100% |
981
16.9 IPS |
|
|
Machine Translation (HP)
|
100% |
946
16.3 IPS |
|
|
Machine Translation (Q)
|
50% |
250
8.86 IPS |
