Google Pixel 7 Pro
Geekbench AI Score
346
Single Precision Score
2675
Half Precision Score
7374
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | September 13 2024 09:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
220
40.9 IPS |
|
|
Image Classification (HP)
|
100% |
5414
1.01 KIPS |
|
|
Image Classification (Q)
|
99% |
8371
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
283
4.59 IPS |
|
|
Image Segmentation (HP)
|
100% |
5324
86.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9363
152.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
373
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
20841
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
38029
44.5 IPS |
|
|
Object Detection (SP)
|
100% |
213
16.9 IPS |
|
|
Object Detection (HP)
|
100% |
4580
363.3 IPS |
|
|
Object Detection (Q)
|
87% |
6485
520.2 IPS |
|
|
Face Detection (SP)
|
100% |
512
6.09 IPS |
|
|
Face Detection (HP)
|
100% |
513
6.09 IPS |
|
|
Face Detection (Q)
|
97% |
31329
373.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
455
3.50 IPS |
|
|
Depth Estimation (HP)
|
99% |
22545
173.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
33070
304.4 IPS |
|
|
Style Transfer (SP)
|
100% |
697
0.90 IPS |
|
|
Style Transfer (HP)
|
100% |
688
0.88 IPS |
|
|
Style Transfer (Q)
|
58% |
2328
4.19 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
216
7.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6124
226.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13340
494.3 IPS |
|
|
Text Classification (SP)
|
100% |
307
410.2 IPS |
|
|
Text Classification (HP)
|
100% |
302
403.2 IPS |
|
|
Text Classification (Q)
|
92% |
2467
3.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
472
8.13 IPS |
|
|
Machine Translation (HP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (Q)
|
57% |
310
7.59 IPS |
