Google Pixel 7
Geekbench AI Score
1070
Single Precision Score
1894
Half Precision Score
2114
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | edesattila |
| Upload Date | March 07 2026 02:53 PM |
| Views | 12 |
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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
484
90.1 IPS |
|
|
Image Classification (HP)
|
100% |
960
178.5 IPS |
|
|
Image Classification (Q)
|
99% |
1443
269.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1246
20.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1726
28.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2420
2.82 IPS |
|
|
Pose Estimation (HP)
|
92% |
4671
5.49 IPS |
|
|
Pose Estimation (Q)
|
96% |
3685
4.32 IPS |
|
|
Object Detection (SP)
|
100% |
519
41.2 IPS |
|
|
Object Detection (HP)
|
97% |
934
74.3 IPS |
|
|
Object Detection (Q)
|
85% |
1431
115.3 IPS |
|
|
Face Detection (SP)
|
100% |
1592
18.9 IPS |
|
|
Face Detection (HP)
|
100% |
2934
34.9 IPS |
|
|
Face Detection (Q)
|
97% |
3556
42.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2002
15.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3850
29.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
3403
31.4 IPS |
|
|
Style Transfer (SP)
|
89% |
3939
5.11 IPS |
|
|
Style Transfer (HP)
|
88% |
5856
7.60 IPS |
|
|
Style Transfer (Q)
|
98% |
8216
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1030
38.0 IPS |
|
|
Image Super-Resolution (HP)
|
92% |
1919
71.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1918
71.1 IPS |
|
|
Text Classification (SP)
|
100% |
511
682.1 IPS |
|
|
Text Classification (HP)
|
100% |
874
1.17 KIPS |
|
|
Text Classification (Q)
|
93% |
987
1.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
771
13.3 IPS |
|
|
Machine Translation (HP)
|
96% |
1030
17.8 IPS |
|
|
Machine Translation (Q)
|
55% |
724
19.4 IPS |
