Google Pixel 7 Pro
Geekbench AI Score
510
Single Precision Score
688
Half Precision Score
703
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Luk30002as |
| Upload Date | May 21 2025 02:48 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
280
52.1 IPS |
|
|
Image Classification (HP)
|
100% |
257
47.8 IPS |
|
|
Image Classification (Q)
|
99% |
250
46.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
662
10.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
984
16.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
968
15.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
461
0.54 IPS |
|
|
Pose Estimation (HP)
|
100% |
852
0.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
847
0.99 IPS |
|
|
Object Detection (SP)
|
100% |
253
20.1 IPS |
|
|
Object Detection (HP)
|
100% |
336
26.6 IPS |
|
|
Object Detection (Q)
|
83% |
359
29.0 IPS |
|
|
Face Detection (SP)
|
100% |
1159
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1483
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
1379
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
787
6.06 IPS |
|
|
Depth Estimation (HP)
|
99% |
1348
10.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
1087
10.3 IPS |
|
|
Style Transfer (SP)
|
100% |
2217
2.85 IPS |
|
|
Style Transfer (HP)
|
100% |
3741
4.81 IPS |
|
|
Style Transfer (Q)
|
98% |
3713
4.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
407
15.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
684
25.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
608
22.5 IPS |
|
|
Text Classification (SP)
|
100% |
205
274.2 IPS |
|
|
Text Classification (HP)
|
100% |
204
271.9 IPS |
|
|
Text Classification (Q)
|
91% |
420
564.3 IPS |
|
|
Machine Translation (SP)
|
100% |
327
5.64 IPS |
|
|
Machine Translation (HP)
|
100% |
318
5.48 IPS |
|
|
Machine Translation (Q)
|
57% |
284
6.95 IPS |
