Google Pixel 7
Geekbench AI Score
915
Single Precision Score
886
Half Precision Score
1624
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| Upload Date | August 13 2025 09:59 AM |
| 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% |
524
97.4 IPS |
|
|
Image Classification (HP)
|
100% |
527
98.1 IPS |
|
|
Image Classification (Q)
|
100% |
1507
280.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
645
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
492
7.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
1714
27.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1945
2.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
2035
2.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
2601
3.09 IPS |
|
|
Object Detection (SP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (HP)
|
100% |
373
29.6 IPS |
|
|
Object Detection (Q)
|
83% |
1020
82.4 IPS |
|
|
Face Detection (SP)
|
100% |
1219
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1231
14.6 IPS |
|
|
Face Detection (Q)
|
95% |
2634
31.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1617
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1616
12.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2580
23.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3209
4.17 IPS |
|
|
Style Transfer (HP)
|
89% |
3154
4.09 IPS |
|
|
Style Transfer (Q)
|
98% |
6077
7.84 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
907
33.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
909
33.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1590
58.9 IPS |
|
|
Text Classification (SP)
|
100% |
441
588.1 IPS |
|
|
Text Classification (HP)
|
100% |
436
581.6 IPS |
|
|
Text Classification (Q)
|
88% |
776
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
670
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
610
10.5 IPS |
|
|
Machine Translation (Q)
|
50% |
367
13.0 IPS |
