Google Pixel 8
Geekbench AI Score
389
Single Precision Score
4368
Half Precision Score
6991
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 01 2025 03:54 AM |
| Views | 2 |
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% |
252
46.9 IPS |
|
|
Image Classification (HP)
|
100% |
4239
788.3 IPS |
|
|
Image Classification (Q)
|
99% |
4804
896.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
283
4.58 IPS |
|
|
Image Segmentation (HP)
|
100% |
9366
151.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
14988
243.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
391
0.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
31220
36.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
62331
73.0 IPS |
|
|
Object Detection (SP)
|
100% |
243
19.3 IPS |
|
|
Object Detection (HP)
|
100% |
4343
344.5 IPS |
|
|
Object Detection (Q)
|
87% |
5161
414.0 IPS |
|
|
Face Detection (SP)
|
100% |
599
7.12 IPS |
|
|
Face Detection (HP)
|
100% |
15424
183.3 IPS |
|
|
Face Detection (Q)
|
97% |
32394
386.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
521
4.02 IPS |
|
|
Depth Estimation (HP)
|
99% |
29291
225.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
31359
288.7 IPS |
|
|
Style Transfer (SP)
|
100% |
768
0.99 IPS |
|
|
Style Transfer (HP)
|
100% |
737
0.95 IPS |
|
|
Style Transfer (Q)
|
72% |
2891
3.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
269
9.95 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7782
287.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13298
492.7 IPS |
|
|
Text Classification (SP)
|
100% |
339
452.0 IPS |
|
|
Text Classification (HP)
|
100% |
350
467.4 IPS |
|
|
Text Classification (Q)
|
92% |
915
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
543
9.35 IPS |
|
|
Machine Translation (HP)
|
100% |
519
8.94 IPS |
|
|
Machine Translation (Q)
|
57% |
337
8.23 IPS |
