Google Pixel 7
Geekbench AI Score
890
Single Precision Score
897
Half Precision Score
1614
Quantized Score
Geekbench AI 1.6.1 for Android AArch64
Result Information
| User | Shakov9202 |
| Upload Date | January 24 2026 03:37 PM |
| Views | 6 |
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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
523
97.2 IPS |
|
|
Image Classification (HP)
|
100% |
516
96.0 IPS |
|
|
Image Classification (Q)
|
100% |
1512
281.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
638
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1712
27.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2079
2.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
2030
2.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
2842
3.37 IPS |
|
|
Object Detection (SP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (HP)
|
100% |
379
30.0 IPS |
|
|
Object Detection (Q)
|
83% |
1025
82.8 IPS |
|
|
Face Detection (SP)
|
100% |
1168
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1181
14.0 IPS |
|
|
Face Detection (Q)
|
95% |
2713
32.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1582
12.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1582
12.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2353
21.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3181
4.13 IPS |
|
|
Style Transfer (HP)
|
89% |
2965
3.85 IPS |
|
|
Style Transfer (Q)
|
98% |
6612
8.53 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
854
31.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
912
33.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1507
55.8 IPS |
|
|
Text Classification (SP)
|
100% |
396
528.0 IPS |
|
|
Text Classification (HP)
|
100% |
434
578.7 IPS |
|
|
Text Classification (Q)
|
88% |
688
927.7 IPS |
|
|
Machine Translation (SP)
|
100% |
612
10.5 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
365
13.0 IPS |
