Google Pixel 7 Pro
Geekbench AI Score
1043
Single Precision Score
1060
Half Precision Score
1974
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| Upload Date | September 18 2025 08:08 PM |
| Views | 3 |
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% |
519
96.6 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.7 IPS |
|
|
Image Classification (Q)
|
100% |
1480
275.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
626
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
628
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1718
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2209
2.58 IPS |
|
|
Pose Estimation (HP)
|
100% |
2193
2.56 IPS |
|
|
Pose Estimation (Q)
|
84% |
3627
4.30 IPS |
|
|
Object Detection (SP)
|
100% |
482
38.2 IPS |
|
|
Object Detection (HP)
|
100% |
481
38.1 IPS |
|
|
Object Detection (Q)
|
83% |
1343
108.5 IPS |
|
|
Face Detection (SP)
|
100% |
1489
17.7 IPS |
|
|
Face Detection (HP)
|
100% |
1508
17.9 IPS |
|
|
Face Detection (Q)
|
95% |
3421
40.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
1635
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1868
14.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
3281
30.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3796
4.93 IPS |
|
|
Style Transfer (HP)
|
89% |
3801
4.93 IPS |
|
|
Style Transfer (Q)
|
98% |
7848
10.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1134
41.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1145
42.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2027
75.1 IPS |
|
|
Text Classification (SP)
|
100% |
540
721.3 IPS |
|
|
Text Classification (HP)
|
100% |
559
746.4 IPS |
|
|
Text Classification (Q)
|
88% |
940
1.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
779
13.4 IPS |
|
|
Machine Translation (HP)
|
100% |
764
13.2 IPS |
|
|
Machine Translation (Q)
|
50% |
433
15.4 IPS |
