Google Pixel 7
Geekbench AI Score
230
Single Precision Score
2322
Half Precision Score
7219
Quantized Score
Geekbench AI 1.7.0 for Android AArch64
Result Information
| User | edesattila |
| Upload Date | February 21 2026 08:32 PM |
| Views | 7 |
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 | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
150
27.8 IPS |
|
|
Image Classification (HP)
|
100% |
5755
1.07 KIPS |
|
|
Image Classification (Q)
|
99% |
8478
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
198
3.22 IPS |
|
|
Image Segmentation (HP)
|
100% |
5446
88.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9437
153.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
244
0.28 IPS |
|
|
Pose Estimation (HP)
|
100% |
20872
24.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
38201
44.7 IPS |
|
|
Object Detection (SP)
|
100% |
134
10.6 IPS |
|
|
Object Detection (HP)
|
100% |
4666
370.1 IPS |
|
|
Object Detection (Q)
|
87% |
6614
530.6 IPS |
|
|
Face Detection (SP)
|
100% |
369
4.39 IPS |
|
|
Face Detection (HP)
|
100% |
370
4.39 IPS |
|
|
Face Detection (Q)
|
97% |
31113
371.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
293
2.26 IPS |
|
|
Depth Estimation (HP)
|
99% |
21873
168.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
33438
307.8 IPS |
|
|
Style Transfer (SP)
|
100% |
497
0.64 IPS |
|
|
Style Transfer (HP)
|
100% |
497
0.64 IPS |
|
|
Style Transfer (Q)
|
58% |
1946
3.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
134
4.96 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6267
231.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
13624
504.8 IPS |
|
|
Text Classification (SP)
|
100% |
193
258.0 IPS |
|
|
Text Classification (HP)
|
100% |
193
258.0 IPS |
|
|
Text Classification (Q)
|
92% |
2499
3.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
314
5.41 IPS |
|
|
Machine Translation (HP)
|
100% |
307
5.29 IPS |
|
|
Machine Translation (Q)
|
57% |
276
6.76 IPS |
