Google Pixel 7
Geekbench AI Score
1057
Single Precision Score
1027
Half Precision Score
1917
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | marvingnils |
| Upload Date | February 04 2025 05:06 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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 | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
531
98.7 IPS |
|
|
Image Classification (HP)
|
100% |
523
97.2 IPS |
|
|
Image Classification (Q)
|
100% |
1530
284.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
623
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
624
10.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1720
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2318
2.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
2314
2.70 IPS |
|
|
Pose Estimation (Q)
|
84% |
3593
4.26 IPS |
|
|
Object Detection (SP)
|
100% |
504
39.9 IPS |
|
|
Object Detection (HP)
|
100% |
498
39.5 IPS |
|
|
Object Detection (Q)
|
83% |
1383
111.7 IPS |
|
|
Face Detection (SP)
|
100% |
1480
17.6 IPS |
|
|
Face Detection (HP)
|
100% |
1464
17.4 IPS |
|
|
Face Detection (Q)
|
95% |
3384
40.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1952
15.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1940
14.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
3313
30.3 IPS |
|
|
Style Transfer (SP)
|
89% |
3938
5.11 IPS |
|
|
Style Transfer (HP)
|
89% |
3903
5.07 IPS |
|
|
Style Transfer (Q)
|
98% |
8419
10.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1035
38.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
865
31.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1923
71.2 IPS |
|
|
Text Classification (SP)
|
100% |
530
707.5 IPS |
|
|
Text Classification (HP)
|
100% |
528
704.1 IPS |
|
|
Text Classification (Q)
|
88% |
903
1.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
724
12.5 IPS |
|
|
Machine Translation (HP)
|
100% |
689
11.9 IPS |
|
|
Machine Translation (Q)
|
50% |
314
11.2 IPS |
