Google Pixel 7
Geekbench AI Score
207
Single Precision Score
1949
Half Precision Score
6008
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 02:09 AM |
| Views | 2 |
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% |
146
27.1 IPS |
|
|
Image Classification (HP)
|
100% |
4711
876.0 IPS |
|
|
Image Classification (Q)
|
99% |
7331
1.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
187
3.04 IPS |
|
|
Image Segmentation (HP)
|
100% |
4693
76.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7756
126.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
225
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16540
19.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
30303
35.5 IPS |
|
|
Object Detection (SP)
|
100% |
120
9.50 IPS |
|
|
Object Detection (HP)
|
100% |
3871
307.1 IPS |
|
|
Object Detection (Q)
|
87% |
5466
438.4 IPS |
|
|
Face Detection (SP)
|
100% |
332
3.95 IPS |
|
|
Face Detection (HP)
|
100% |
334
3.97 IPS |
|
|
Face Detection (Q)
|
97% |
25054
298.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
249
1.92 IPS |
|
|
Depth Estimation (HP)
|
99% |
18070
139.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
27241
250.8 IPS |
|
|
Style Transfer (SP)
|
100% |
402
0.52 IPS |
|
|
Style Transfer (HP)
|
100% |
382
0.49 IPS |
|
|
Style Transfer (Q)
|
58% |
1693
3.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
125
4.60 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5058
186.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11005
407.8 IPS |
|
|
Text Classification (SP)
|
100% |
164
219.3 IPS |
|
|
Text Classification (HP)
|
100% |
170
227.0 IPS |
|
|
Text Classification (Q)
|
92% |
2151
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
291
5.02 IPS |
|
|
Machine Translation (HP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (Q)
|
57% |
238
5.81 IPS |
