Google Pixel 7 Pro
Geekbench AI Score
493
Single Precision Score
583
Half Precision Score
596
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | harman767 |
| Upload Date | March 26 2025 07:33 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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 | 11.17 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
246
45.7 IPS |
|
|
Image Classification (HP)
|
100% |
238
44.3 IPS |
|
|
Image Classification (Q)
|
99% |
246
45.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
684
11.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
915
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
897
14.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
456
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
624
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
621
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
252
20.0 IPS |
|
|
Object Detection (HP)
|
100% |
337
26.7 IPS |
|
|
Object Detection (Q)
|
83% |
329
26.6 IPS |
|
|
Face Detection (SP)
|
100% |
1147
13.6 IPS |
|
|
Face Detection (HP)
|
100% |
1404
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
1213
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
782
6.03 IPS |
|
|
Depth Estimation (HP)
|
99% |
926
7.13 IPS |
|
|
Depth Estimation (Q)
|
62% |
734
6.95 IPS |
|
|
Style Transfer (SP)
|
100% |
2039
2.62 IPS |
|
|
Style Transfer (HP)
|
100% |
2622
3.37 IPS |
|
|
Style Transfer (Q)
|
98% |
2602
3.36 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
390
14.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
481
17.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
480
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
200
267.0 IPS |
|
|
Text Classification (HP)
|
100% |
200
266.4 IPS |
|
|
Text Classification (Q)
|
91% |
410
551.5 IPS |
|
|
Machine Translation (SP)
|
100% |
310
5.34 IPS |
|
|
Machine Translation (HP)
|
100% |
303
5.21 IPS |
|
|
Machine Translation (Q)
|
57% |
277
6.76 IPS |
