Google Pixel 8
Geekbench AI Score
394
Single Precision Score
4206
Half Precision Score
7430
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| User | RMK1987 |
| Upload Date | September 18 2024 06:51 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
261
48.5 IPS |
|
|
Image Classification (HP)
|
100% |
3533
657.0 IPS |
|
|
Image Classification (Q)
|
99% |
4917
917.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
330
5.35 IPS |
|
|
Image Segmentation (HP)
|
100% |
7320
118.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
16392
266.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
390
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
31009
36.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
62771
73.5 IPS |
|
|
Object Detection (SP)
|
100% |
236
18.7 IPS |
|
|
Object Detection (HP)
|
100% |
4346
344.7 IPS |
|
|
Object Detection (Q)
|
87% |
5923
475.1 IPS |
|
|
Face Detection (SP)
|
100% |
577
6.85 IPS |
|
|
Face Detection (HP)
|
100% |
13975
166.1 IPS |
|
|
Face Detection (Q)
|
97% |
31937
380.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
506
3.90 IPS |
|
|
Depth Estimation (HP)
|
99% |
29666
228.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
33509
308.5 IPS |
|
|
Style Transfer (SP)
|
100% |
770
0.99 IPS |
|
|
Style Transfer (HP)
|
100% |
766
0.99 IPS |
|
|
Style Transfer (Q)
|
74% |
3047
4.14 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
260
9.61 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8065
297.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13148
487.2 IPS |
|
|
Text Classification (SP)
|
100% |
365
486.6 IPS |
|
|
Text Classification (HP)
|
100% |
367
490.3 IPS |
|
|
Text Classification (Q)
|
92% |
1094
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (HP)
|
100% |
530
9.12 IPS |
|
|
Machine Translation (Q)
|
57% |
365
8.92 IPS |
