Google Pixel 7
Geekbench AI Score
735
Single Precision Score
1065
Half Precision Score
843
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | edesattila |
| Upload Date | March 15 2026 06:45 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
259
48.2 IPS |
|
|
Image Classification (HP)
|
100% |
324
60.3 IPS |
|
|
Image Classification (Q)
|
97% |
281
52.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1045
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1468
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1425
23.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4348
5.07 IPS |
|
|
Pose Estimation (HP)
|
100% |
9328
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9106
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
354
28.1 IPS |
|
|
Object Detection (HP)
|
99% |
424
33.6 IPS |
|
|
Object Detection (Q)
|
83% |
469
37.9 IPS |
|
|
Face Detection (SP)
|
100% |
2166
25.7 IPS |
|
|
Face Detection (HP)
|
100% |
2713
32.2 IPS |
|
|
Face Detection (Q)
|
96% |
2178
26.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2292
17.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3499
27.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
3262
31.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6477
8.33 IPS |
|
|
Style Transfer (HP)
|
100% |
14903
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
13905
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1042
38.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1247
46.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1364
50.5 IPS |
|
|
Text Classification (SP)
|
35% |
12
108.3 IPS |
|
|
Text Classification (HP)
|
35% |
19
173.8 IPS |
|
|
Text Classification (Q)
|
32% |
10
122.8 IPS |
|
|
Machine Translation (SP)
|
100% |
278
4.78 IPS |
|
|
Machine Translation (HP)
|
100% |
298
5.13 IPS |
|
|
Machine Translation (Q)
|
43% |
79
4.61 IPS |
