Google Pixel 7
Geekbench AI Score
233
Single Precision Score
2355
Half Precision Score
7272
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | klcs1998 |
| Upload Date | August 15 2025 12:18 AM |
| Views | 4 |
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
28.1 IPS |
|
|
Image Classification (HP)
|
100% |
5630
1.05 KIPS |
|
|
Image Classification (Q)
|
99% |
8562
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
199
3.23 IPS |
|
|
Image Segmentation (HP)
|
100% |
5651
91.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
9557
155.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
248
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
20875
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
38123
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
136
10.8 IPS |
|
|
Object Detection (HP)
|
100% |
4727
375.0 IPS |
|
|
Object Detection (Q)
|
87% |
6637
532.4 IPS |
|
|
Face Detection (SP)
|
100% |
374
4.45 IPS |
|
|
Face Detection (HP)
|
100% |
368
4.37 IPS |
|
|
Face Detection (Q)
|
97% |
31058
370.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
289
2.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
22700
174.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
33521
308.6 IPS |
|
|
Style Transfer (SP)
|
100% |
493
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
495
0.64 IPS |
|
|
Style Transfer (Q)
|
58% |
2017
3.62 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
138
5.11 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6251
230.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13576
503.1 IPS |
|
|
Text Classification (SP)
|
100% |
193
258.3 IPS |
|
|
Text Classification (HP)
|
100% |
202
270.1 IPS |
|
|
Text Classification (Q)
|
92% |
2523
3.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.53 IPS |
|
|
Machine Translation (Q)
|
57% |
278
6.79 IPS |
