Google Pixel 8
Geekbench AI Score
360
Single Precision Score
4014
Half Precision Score
4973
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | rgba |
| Upload Date | September 07 2024 08:31 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
245
45.6 IPS |
|
|
Image Classification (HP)
|
100% |
3631
675.3 IPS |
|
|
Image Classification (Q)
|
99% |
4304
802.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
246
3.99 IPS |
|
|
Image Segmentation (HP)
|
100% |
6928
112.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
14906
242.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
367
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
29648
34.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
62456
73.1 IPS |
|
|
Object Detection (SP)
|
100% |
230
18.2 IPS |
|
|
Object Detection (HP)
|
100% |
4152
329.3 IPS |
|
|
Object Detection (Q)
|
87% |
4881
391.5 IPS |
|
|
Face Detection (SP)
|
100% |
532
6.33 IPS |
|
|
Face Detection (HP)
|
100% |
15103
179.5 IPS |
|
|
Face Detection (Q)
|
97% |
27892
332.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
481
3.70 IPS |
|
|
Depth Estimation (HP)
|
99% |
29731
229.1 IPS |
|
|
Depth Estimation (Q)
|
64% |
30775
283.3 IPS |
|
|
Style Transfer (SP)
|
100% |
691
0.89 IPS |
|
|
Style Transfer (HP)
|
100% |
689
0.89 IPS |
|
|
Style Transfer (Q)
|
27% |
183
3.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
262
9.66 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7764
286.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
12944
479.7 IPS |
|
|
Text Classification (SP)
|
100% |
315
420.2 IPS |
|
|
Text Classification (HP)
|
100% |
317
423.4 IPS |
|
|
Text Classification (Q)
|
92% |
794
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
500
8.62 IPS |
|
|
Machine Translation (HP)
|
100% |
461
7.94 IPS |
|
|
Machine Translation (Q)
|
57% |
293
7.15 IPS |
