Google Pixel 8
Geekbench AI Score
1114
Single Precision Score
1125
Half Precision Score
1643
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | greedus |
| Upload Date | August 16 2024 06:18 PM |
| Views | 7 |
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% |
660
122.8 IPS |
|
|
Image Classification (HP)
|
100% |
707
131.4 IPS |
|
|
Image Classification (Q)
|
100% |
846
157.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1428
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1319
21.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
2158
35.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2222
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1769
2.06 IPS |
|
|
Pose Estimation (Q)
|
84% |
3468
4.11 IPS |
|
|
Object Detection (SP)
|
98% |
664
52.9 IPS |
|
|
Object Detection (HP)
|
98% |
928
73.9 IPS |
|
|
Object Detection (Q)
|
87% |
1402
112.6 IPS |
|
|
Face Detection (SP)
|
100% |
2063
24.5 IPS |
|
|
Face Detection (HP)
|
100% |
2121
25.2 IPS |
|
|
Face Detection (Q)
|
95% |
3217
38.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
1406
10.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1219
9.42 IPS |
|
|
Depth Estimation (Q)
|
75% |
2146
17.4 IPS |
|
|
Style Transfer (SP)
|
89% |
2986
3.88 IPS |
|
|
Style Transfer (HP)
|
89% |
2479
3.22 IPS |
|
|
Style Transfer (Q)
|
98% |
9455
12.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
688
25.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
923
34.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1205
44.7 IPS |
|
|
Text Classification (SP)
|
100% |
405
540.8 IPS |
|
|
Text Classification (HP)
|
99% |
444
592.9 IPS |
|
|
Text Classification (Q)
|
88% |
664
895.8 IPS |
|
|
Machine Translation (SP)
|
100% |
880
15.2 IPS |
|
|
Machine Translation (HP)
|
100% |
812
14.0 IPS |
|
|
Machine Translation (Q)
|
50% |
310
11.0 IPS |
