Google Pixel 7
Geekbench AI Score
232
Single Precision Score
2342
Half Precision Score
7311
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | edesattila |
| Upload Date | October 28 2025 06:17 AM |
| Views | 8 |
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
28.0 IPS |
|
|
Image Classification (HP)
|
100% |
5549
1.03 KIPS |
|
|
Image Classification (Q)
|
99% |
8531
1.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.21 IPS |
|
|
Image Segmentation (HP)
|
100% |
5436
88.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
9353
152.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
245
0.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
20845
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
38093
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
133
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
4671
370.5 IPS |
|
|
Object Detection (Q)
|
87% |
6596
529.1 IPS |
|
|
Face Detection (SP)
|
100% |
370
4.39 IPS |
|
|
Face Detection (HP)
|
100% |
374
4.44 IPS |
|
|
Face Detection (Q)
|
97% |
30878
368.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
287
2.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
22649
174.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
33422
307.7 IPS |
|
|
Style Transfer (SP)
|
100% |
502
0.65 IPS |
|
|
Style Transfer (HP)
|
100% |
494
0.64 IPS |
|
|
Style Transfer (Q)
|
58% |
2096
3.77 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
140
5.17 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6201
229.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13624
504.8 IPS |
|
|
Text Classification (SP)
|
100% |
197
262.7 IPS |
|
|
Text Classification (HP)
|
100% |
203
271.2 IPS |
|
|
Text Classification (Q)
|
92% |
2489
3.34 KIPS |
|
|
Machine Translation (SP)
|
100% |
325
5.60 IPS |
|
|
Machine Translation (HP)
|
100% |
321
5.52 IPS |
|
|
Machine Translation (Q)
|
57% |
297
7.27 IPS |
