Google Pixel 7
Geekbench AI Score
230
Single Precision Score
2295
Half Precision Score
7228
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | edesattila |
| Upload Date | June 21 2025 01:06 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
151
28.2 IPS |
|
|
Image Classification (HP)
|
100% |
5517
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
8526
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.20 IPS |
|
|
Image Segmentation (HP)
|
100% |
5415
87.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
9521
154.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
245
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
20839
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
37872
44.3 IPS |
|
|
Object Detection (SP)
|
100% |
131
10.4 IPS |
|
|
Object Detection (HP)
|
100% |
4719
374.3 IPS |
|
|
Object Detection (Q)
|
87% |
6615
530.6 IPS |
|
|
Face Detection (SP)
|
100% |
369
4.39 IPS |
|
|
Face Detection (HP)
|
100% |
369
4.38 IPS |
|
|
Face Detection (Q)
|
97% |
31442
374.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
291
2.24 IPS |
|
|
Depth Estimation (HP)
|
99% |
22304
171.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
33796
311.1 IPS |
|
|
Style Transfer (SP)
|
100% |
497
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
467
0.60 IPS |
|
|
Style Transfer (Q)
|
57% |
1897
3.47 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.93 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6274
231.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13646
505.6 IPS |
|
|
Text Classification (SP)
|
100% |
187
249.1 IPS |
|
|
Text Classification (HP)
|
100% |
194
259.0 IPS |
|
|
Text Classification (Q)
|
92% |
2494
3.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.10 IPS |
|
|
Machine Translation (Q)
|
57% |
279
6.83 IPS |
