Google Pixel 7
Geekbench AI Score
698
Single Precision Score
1025
Half Precision Score
803
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | edesattila |
| Upload Date | March 07 2026 03:06 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
245
45.5 IPS |
|
|
Image Classification (HP)
|
100% |
317
58.9 IPS |
|
|
Image Classification (Q)
|
97% |
283
52.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1112
18.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1675
27.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1204
19.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4360
5.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
9382
10.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
9073
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
338
26.8 IPS |
|
|
Object Detection (HP)
|
99% |
438
34.7 IPS |
|
|
Object Detection (Q)
|
83% |
426
34.4 IPS |
|
|
Face Detection (SP)
|
100% |
1763
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
2139
25.4 IPS |
|
|
Face Detection (Q)
|
96% |
2061
24.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2301
17.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3478
26.9 IPS |
|
|
Depth Estimation (Q)
|
62% |
2737
26.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6436
8.27 IPS |
|
|
Style Transfer (HP)
|
100% |
14931
19.2 IPS |
|
|
Style Transfer (Q)
|
98% |
13865
17.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1051
38.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1291
47.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1443
53.5 IPS |
|
|
Text Classification (SP)
|
35% |
9
82.5 IPS |
|
|
Text Classification (HP)
|
35% |
15
134.4 IPS |
|
|
Text Classification (Q)
|
32% |
10
122.8 IPS |
|
|
Machine Translation (SP)
|
100% |
279
4.81 IPS |
|
|
Machine Translation (HP)
|
100% |
274
4.71 IPS |
|
|
Machine Translation (Q)
|
43% |
75
4.34 IPS |
