Google Pixel 7
Geekbench AI Score
941
Single Precision Score
938
Half Precision Score
1703
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 11:02 AM |
| 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 |
| Model ID | Google Pixel 7 |
| Motherboard | panther |
| 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 | 7.27 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
485
90.3 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.3 IPS |
|
|
Image Classification (Q)
|
100% |
1484
275.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
616
9.98 IPS |
|
|
Image Segmentation (HP)
|
100% |
612
9.92 IPS |
|
|
Image Segmentation (Q)
|
98% |
1672
27.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2118
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
2048
2.39 IPS |
|
|
Pose Estimation (Q)
|
84% |
2814
3.34 IPS |
|
|
Object Detection (SP)
|
100% |
397
31.5 IPS |
|
|
Object Detection (HP)
|
100% |
383
30.4 IPS |
|
|
Object Detection (Q)
|
83% |
1086
87.7 IPS |
|
|
Face Detection (SP)
|
100% |
1235
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
1306
15.5 IPS |
|
|
Face Detection (Q)
|
95% |
2888
34.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1733
13.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1733
13.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2853
26.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3463
4.49 IPS |
|
|
Style Transfer (HP)
|
89% |
3209
4.17 IPS |
|
|
Style Transfer (Q)
|
98% |
6593
8.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
914
33.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1747
64.7 IPS |
|
|
Text Classification (SP)
|
100% |
474
632.9 IPS |
|
|
Text Classification (HP)
|
100% |
469
625.7 IPS |
|
|
Text Classification (Q)
|
88% |
759
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
679
11.7 IPS |
|
|
Machine Translation (HP)
|
100% |
646
11.1 IPS |
|
|
Machine Translation (Q)
|
50% |
376
13.3 IPS |
