Google Pixel 7 Pro
Geekbench AI Score
264
Single Precision Score
2235
Half Precision Score
4750
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | timk |
| Upload Date | August 23 2024 09:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
192
35.8 IPS |
|
|
Image Classification (HP)
|
100% |
4649
864.6 IPS |
|
|
Image Classification (Q)
|
99% |
7168
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
232
3.76 IPS |
|
|
Image Segmentation (HP)
|
100% |
4538
73.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
7859
127.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
249
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
16622
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30230
35.4 IPS |
|
|
Object Detection (SP)
|
100% |
159
12.6 IPS |
|
|
Object Detection (HP)
|
100% |
3793
300.9 IPS |
|
|
Object Detection (Q)
|
90% |
5433
434.3 IPS |
|
|
Face Detection (SP)
|
100% |
324
3.85 IPS |
|
|
Face Detection (HP)
|
100% |
445
5.29 IPS |
|
|
Face Detection (Q)
|
97% |
26268
313.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
344
2.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
18098
139.4 IPS |
|
|
Depth Estimation (Q)
|
70% |
29298
246.8 IPS |
|
|
Style Transfer (SP)
|
100% |
638
0.82 IPS |
|
|
Style Transfer (HP)
|
100% |
555
0.71 IPS |
|
|
Style Transfer (Q)
|
28% |
145
2.90 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
120
4.44 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5144
190.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11660
432.0 IPS |
|
|
Text Classification (SP)
|
100% |
271
361.7 IPS |
|
|
Text Classification (HP)
|
100% |
271
361.7 IPS |
|
|
Text Classification (Q)
|
92% |
2095
2.81 KIPS |
|
|
Machine Translation (SP)
|
100% |
414
7.12 IPS |
|
|
Machine Translation (HP)
|
100% |
376
6.47 IPS |
|
|
Machine Translation (Q)
|
57% |
232
5.67 IPS |
