Google Pixel 8 Pro
Geekbench AI Score
364
Single Precision Score
3960
Half Precision Score
6595
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | JiggaBoom |
| Upload Date | February 26 2025 09:35 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 8 Pro |
| Model ID | Google Pixel 8 Pro |
| Motherboard | husky |
| 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 | 11.32 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
272
50.6 IPS |
|
|
Image Classification (HP)
|
100% |
3350
623.0 IPS |
|
|
Image Classification (Q)
|
99% |
4728
881.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
356
5.77 IPS |
|
|
Image Segmentation (HP)
|
100% |
8012
129.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
14252
231.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
422
0.49 IPS |
|
|
Pose Estimation (HP)
|
100% |
31009
36.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
62408
73.1 IPS |
|
|
Object Detection (SP)
|
100% |
228
18.1 IPS |
|
|
Object Detection (HP)
|
100% |
4017
318.6 IPS |
|
|
Object Detection (Q)
|
87% |
4915
394.3 IPS |
|
|
Face Detection (SP)
|
100% |
544
6.47 IPS |
|
|
Face Detection (HP)
|
100% |
13432
159.6 IPS |
|
|
Face Detection (Q)
|
97% |
27249
324.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
446
3.43 IPS |
|
|
Depth Estimation (HP)
|
99% |
30689
236.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
31579
290.7 IPS |
|
|
Style Transfer (SP)
|
100% |
640
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
656
0.84 IPS |
|
|
Style Transfer (Q)
|
73% |
2644
3.63 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
237
8.76 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7916
292.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13248
490.9 IPS |
|
|
Text Classification (SP)
|
100% |
295
393.8 IPS |
|
|
Text Classification (HP)
|
100% |
296
394.8 IPS |
|
|
Text Classification (Q)
|
92% |
944
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
413
7.11 IPS |
|
|
Machine Translation (HP)
|
100% |
448
7.72 IPS |
|
|
Machine Translation (Q)
|
57% |
265
6.48 IPS |
