Google Pixel 7 Pro
Geekbench AI Score
943
Single Precision Score
915
Half Precision Score
1619
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | July 19 2025 08:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
541
100.6 IPS |
|
|
Image Classification (HP)
|
100% |
530
98.6 IPS |
|
|
Image Classification (Q)
|
100% |
1512
281.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
648
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
645
10.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
1747
28.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2249
2.62 IPS |
|
|
Pose Estimation (HP)
|
100% |
2107
2.46 IPS |
|
|
Pose Estimation (Q)
|
84% |
2625
3.11 IPS |
|
|
Object Detection (SP)
|
100% |
413
32.8 IPS |
|
|
Object Detection (HP)
|
100% |
380
30.2 IPS |
|
|
Object Detection (Q)
|
83% |
894
72.2 IPS |
|
|
Face Detection (SP)
|
100% |
1165
13.8 IPS |
|
|
Face Detection (HP)
|
100% |
1172
13.9 IPS |
|
|
Face Detection (Q)
|
95% |
2474
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1608
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1608
12.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2654
24.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3226
4.19 IPS |
|
|
Style Transfer (HP)
|
89% |
3179
4.13 IPS |
|
|
Style Transfer (Q)
|
98% |
6587
8.49 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
927
34.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
925
34.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1601
59.3 IPS |
|
|
Text Classification (SP)
|
100% |
436
581.4 IPS |
|
|
Text Classification (HP)
|
100% |
437
582.7 IPS |
|
|
Text Classification (Q)
|
88% |
756
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
700
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
622
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
382
13.5 IPS |
