Google Pixel 7
Geekbench AI Score
503
Single Precision Score
582
Half Precision Score
605
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | edesattila |
| Upload Date | May 26 2025 04:28 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
289
53.8 IPS |
|
|
Image Classification (HP)
|
100% |
239
44.4 IPS |
|
|
Image Classification (Q)
|
99% |
269
50.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
860
13.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
853
13.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
457
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
623
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
620
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
251
19.9 IPS |
|
|
Object Detection (HP)
|
100% |
321
25.5 IPS |
|
|
Object Detection (Q)
|
83% |
327
26.4 IPS |
|
|
Face Detection (SP)
|
100% |
1080
12.8 IPS |
|
|
Face Detection (HP)
|
100% |
1293
15.4 IPS |
|
|
Face Detection (Q)
|
97% |
1217
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
749
5.77 IPS |
|
|
Depth Estimation (HP)
|
99% |
919
7.08 IPS |
|
|
Depth Estimation (Q)
|
62% |
736
6.97 IPS |
|
|
Style Transfer (SP)
|
100% |
2013
2.59 IPS |
|
|
Style Transfer (HP)
|
100% |
2606
3.35 IPS |
|
|
Style Transfer (Q)
|
98% |
2581
3.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
381
14.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
477
17.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
470
17.4 IPS |
|
|
Text Classification (SP)
|
100% |
219
293.0 IPS |
|
|
Text Classification (HP)
|
100% |
217
289.9 IPS |
|
|
Text Classification (Q)
|
91% |
436
586.1 IPS |
|
|
Machine Translation (SP)
|
100% |
346
5.96 IPS |
|
|
Machine Translation (HP)
|
100% |
344
5.92 IPS |
|
|
Machine Translation (Q)
|
57% |
302
7.39 IPS |
