Google Pixel 7
Geekbench AI Score
560
Single Precision Score
660
Half Precision Score
666
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | 46fy45 |
| Upload Date | October 26 2025 07:55 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
411
76.4 IPS |
|
|
Image Classification (HP)
|
100% |
379
70.6 IPS |
|
|
Image Classification (Q)
|
99% |
554
103.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
459
7.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
618
10.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
586
9.53 IPS |
|
|
Pose Estimation (SP)
|
100% |
471
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
660
0.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
656
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
310
24.6 IPS |
|
|
Object Detection (HP)
|
100% |
436
34.6 IPS |
|
|
Object Detection (Q)
|
83% |
404
32.7 IPS |
|
|
Face Detection (SP)
|
100% |
1212
14.4 IPS |
|
|
Face Detection (HP)
|
100% |
1532
18.2 IPS |
|
|
Face Detection (Q)
|
97% |
1376
16.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
798
6.15 IPS |
|
|
Depth Estimation (HP)
|
99% |
919
7.08 IPS |
|
|
Depth Estimation (Q)
|
62% |
717
6.78 IPS |
|
|
Style Transfer (SP)
|
100% |
2065
2.65 IPS |
|
|
Style Transfer (HP)
|
100% |
2548
3.28 IPS |
|
|
Style Transfer (Q)
|
98% |
2498
3.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
458
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
463
17.2 IPS |
|
|
Text Classification (SP)
|
100% |
309
413.1 IPS |
|
|
Text Classification (HP)
|
100% |
315
420.9 IPS |
|
|
Text Classification (Q)
|
91% |
537
722.0 IPS |
|
|
Machine Translation (SP)
|
100% |
467
8.04 IPS |
|
|
Machine Translation (HP)
|
100% |
456
7.85 IPS |
|
|
Machine Translation (Q)
|
57% |
326
7.97 IPS |
