Google Pixel 8
Geekbench AI Score
528
Single Precision Score
604
Half Precision Score
576
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 17 2024 12:42 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
387
72.0 IPS |
|
|
Image Classification (HP)
|
100% |
401
74.6 IPS |
|
|
Image Classification (Q)
|
99% |
350
65.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
812
13.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
947
15.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
869
14.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
478
0.56 IPS |
|
|
Pose Estimation (HP)
|
100% |
665
0.78 IPS |
|
|
Pose Estimation (Q)
|
96% |
663
0.78 IPS |
|
|
Object Detection (SP)
|
100% |
249
19.7 IPS |
|
|
Object Detection (HP)
|
100% |
304
24.1 IPS |
|
|
Object Detection (Q)
|
83% |
340
27.5 IPS |
|
|
Face Detection (SP)
|
100% |
1222
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1246
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
1143
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
920
7.09 IPS |
|
|
Depth Estimation (HP)
|
99% |
1098
8.46 IPS |
|
|
Depth Estimation (Q)
|
62% |
888
8.41 IPS |
|
|
Style Transfer (SP)
|
100% |
2470
3.18 IPS |
|
|
Style Transfer (HP)
|
100% |
3248
4.18 IPS |
|
|
Style Transfer (Q)
|
98% |
3203
4.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
440
16.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
540
19.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
511
19.0 IPS |
|
|
Text Classification (SP)
|
100% |
166
221.3 IPS |
|
|
Text Classification (HP)
|
100% |
167
222.4 IPS |
|
|
Text Classification (Q)
|
91% |
247
332.5 IPS |
|
|
Machine Translation (SP)
|
100% |
222
3.82 IPS |
|
|
Machine Translation (HP)
|
100% |
213
3.67 IPS |
|
|
Machine Translation (Q)
|
57% |
145
3.55 IPS |
