Google Pixel 8
Geekbench AI Score
639
Single Precision Score
725
Half Precision Score
708
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 09 2024 08:43 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
435
80.9 IPS |
|
|
Image Classification (HP)
|
100% |
409
76.1 IPS |
|
|
Image Classification (Q)
|
99% |
419
78.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
842
13.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
957
15.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
907
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
486
0.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
691
0.81 IPS |
|
|
Pose Estimation (Q)
|
96% |
686
0.80 IPS |
|
|
Object Detection (SP)
|
100% |
262
20.8 IPS |
|
|
Object Detection (HP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (Q)
|
83% |
431
34.8 IPS |
|
|
Face Detection (SP)
|
100% |
1256
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1377
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
1189
14.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
915
7.05 IPS |
|
|
Depth Estimation (HP)
|
99% |
1104
8.51 IPS |
|
|
Depth Estimation (Q)
|
62% |
898
8.50 IPS |
|
|
Style Transfer (SP)
|
100% |
2558
3.29 IPS |
|
|
Style Transfer (HP)
|
100% |
3300
4.24 IPS |
|
|
Style Transfer (Q)
|
98% |
3261
4.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
468
17.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
543
20.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
513
19.0 IPS |
|
|
Text Classification (SP)
|
100% |
346
461.9 IPS |
|
|
Text Classification (HP)
|
100% |
349
466.4 IPS |
|
|
Text Classification (Q)
|
91% |
550
738.7 IPS |
|
|
Machine Translation (SP)
|
100% |
513
8.83 IPS |
|
|
Machine Translation (HP)
|
100% |
505
8.70 IPS |
|
|
Machine Translation (Q)
|
57% |
288
7.03 IPS |
