Google Pixel 7 Pro
Geekbench AI Score
744
Single Precision Score
708
Half Precision Score
1231
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 18 2024 01:14 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 7 Pro |
| Model ID | Google Pixel 7 Pro |
| Motherboard | cheetah |
| Governor | sched_pixel |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3396 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 2 Cores @ 2.35 GHz |
| Cluster 3 | 2 Cores @ 2.85 GHz |
| Memory Information | |
|---|---|
| Size | 11.20 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
482
89.7 IPS |
|
|
Image Classification (HP)
|
100% |
488
90.7 IPS |
|
|
Image Classification (Q)
|
100% |
1434
266.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
602
9.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
560
9.08 IPS |
|
|
Image Segmentation (Q)
|
98% |
1581
25.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1944
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
1492
1.74 IPS |
|
|
Pose Estimation (Q)
|
84% |
1600
1.90 IPS |
|
|
Object Detection (SP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (HP)
|
100% |
266
21.1 IPS |
|
|
Object Detection (Q)
|
83% |
640
51.7 IPS |
|
|
Face Detection (SP)
|
100% |
878
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
878
10.4 IPS |
|
|
Face Detection (Q)
|
95% |
1974
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1341
10.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1253
9.66 IPS |
|
|
Depth Estimation (Q)
|
64% |
1923
17.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2430
3.15 IPS |
|
|
Style Transfer (HP)
|
89% |
2429
3.15 IPS |
|
|
Style Transfer (Q)
|
98% |
4766
6.15 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
713
26.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
711
26.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1165
43.2 IPS |
|
|
Text Classification (SP)
|
100% |
318
424.7 IPS |
|
|
Text Classification (HP)
|
100% |
317
423.4 IPS |
|
|
Text Classification (Q)
|
88% |
547
737.5 IPS |
|
|
Machine Translation (SP)
|
100% |
538
9.27 IPS |
|
|
Machine Translation (HP)
|
100% |
491
8.46 IPS |
|
|
Machine Translation (Q)
|
50% |
299
10.6 IPS |
