Google Pixel 8 Pro
Geekbench AI Score
2041
Single Precision Score
2072
Half Precision Score
3063
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 07:30 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G3 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
1363
253.5 IPS |
|
|
Image Classification (HP)
|
100% |
1606
298.6 IPS |
|
|
Image Classification (Q)
|
100% |
2573
478.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1783
28.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1780
28.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
2916
47.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
3173
3.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3055
3.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
6805
8.07 IPS |
|
|
Object Detection (SP)
|
98% |
1549
123.3 IPS |
|
|
Object Detection (HP)
|
98% |
1533
122.0 IPS |
|
|
Object Detection (Q)
|
87% |
2225
178.7 IPS |
|
|
Face Detection (SP)
|
100% |
3188
37.9 IPS |
|
|
Face Detection (HP)
|
100% |
3186
37.9 IPS |
|
|
Face Detection (Q)
|
95% |
5406
64.5 IPS |
|
|
Depth Estimation (SP)
|
99% |
2956
22.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3013
23.3 IPS |
|
|
Depth Estimation (Q)
|
75% |
5081
41.2 IPS |
|
|
Style Transfer (SP)
|
89% |
7258
9.42 IPS |
|
|
Style Transfer (HP)
|
89% |
7201
9.35 IPS |
|
|
Style Transfer (Q)
|
98% |
13413
17.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1607
59.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1614
59.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3339
123.7 IPS |
|
|
Text Classification (SP)
|
100% |
745
995.0 IPS |
|
|
Text Classification (HP)
|
99% |
746
996.4 IPS |
|
|
Text Classification (Q)
|
88% |
803
1.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1288
22.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1310
22.6 IPS |
|
|
Machine Translation (Q)
|
50% |
649
23.1 IPS |
