Google Pixel 7
Geekbench AI Score
1040
Single Precision Score
1054
Half Precision Score
1946
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Nickayz |
| Upload Date | June 13 2025 02:42 PM |
| Views | 4 |
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% |
519
96.6 IPS |
|
|
Image Classification (HP)
|
100% |
534
99.3 IPS |
|
|
Image Classification (Q)
|
100% |
1536
285.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
643
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1718
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2380
2.78 IPS |
|
|
Pose Estimation (HP)
|
100% |
2368
2.76 IPS |
|
|
Pose Estimation (Q)
|
84% |
3636
4.31 IPS |
|
|
Object Detection (SP)
|
100% |
499
39.5 IPS |
|
|
Object Detection (HP)
|
100% |
510
40.5 IPS |
|
|
Object Detection (Q)
|
83% |
1419
114.6 IPS |
|
|
Face Detection (SP)
|
100% |
1554
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
1544
18.3 IPS |
|
|
Face Detection (Q)
|
95% |
3519
42.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1574
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1848
14.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
3241
29.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3851
5.00 IPS |
|
|
Style Transfer (HP)
|
89% |
3790
4.92 IPS |
|
|
Style Transfer (Q)
|
98% |
7754
10.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1025
37.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
994
36.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1865
69.1 IPS |
|
|
Text Classification (SP)
|
100% |
492
656.8 IPS |
|
|
Text Classification (HP)
|
100% |
532
710.5 IPS |
|
|
Text Classification (Q)
|
88% |
824
1.11 KIPS |
|
|
Machine Translation (SP)
|
100% |
789
13.6 IPS |
|
|
Machine Translation (HP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (Q)
|
50% |
423
15.0 IPS |
