Google Pixel 8
Geekbench AI Score
1714
Single Precision Score
1323
Half Precision Score
2623
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 05 2025 06:41 AM |
| Views | 1 |
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% |
1566
291.2 IPS |
|
|
Image Classification (HP)
|
100% |
1624
302.0 IPS |
|
|
Image Classification (Q)
|
100% |
2385
443.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
1751
28.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2837
46.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3118
3.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
2970
3.47 IPS |
|
|
Pose Estimation (Q)
|
84% |
6696
7.94 IPS |
|
|
Object Detection (SP)
|
98% |
1459
116.1 IPS |
|
|
Object Detection (HP)
|
98% |
1469
116.9 IPS |
|
|
Object Detection (Q)
|
83% |
2385
192.6 IPS |
|
|
Face Detection (SP)
|
100% |
2958
35.1 IPS |
|
|
Face Detection (HP)
|
100% |
1199
14.3 IPS |
|
|
Face Detection (Q)
|
95% |
5478
65.4 IPS |
|
|
Depth Estimation (SP)
|
99% |
2812
21.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2791
21.6 IPS |
|
|
Depth Estimation (Q)
|
64% |
5316
48.7 IPS |
|
|
Style Transfer (SP)
|
89% |
7052
9.15 IPS |
|
|
Style Transfer (HP)
|
89% |
6852
8.90 IPS |
|
|
Style Transfer (Q)
|
98% |
13591
17.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1440
53.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
725
26.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1522
56.4 IPS |
|
|
Text Classification (SP)
|
100% |
306
407.8 IPS |
|
|
Text Classification (HP)
|
99% |
310
413.9 IPS |
|
|
Text Classification (Q)
|
88% |
579
780.7 IPS |
|
|
Machine Translation (SP)
|
100% |
680
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
659
11.4 IPS |
|
|
Machine Translation (Q)
|
50% |
410
14.5 IPS |
