Google Pixel 7
Geekbench AI Score
469
Single Precision Score
563
Half Precision Score
580
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 21 2025 01:35 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
229
42.5 IPS |
|
|
Image Classification (HP)
|
100% |
251
46.7 IPS |
|
|
Image Classification (Q)
|
99% |
243
45.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
619
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
825
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
787
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
444
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
622
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
619
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
241
19.1 IPS |
|
|
Object Detection (HP)
|
100% |
331
26.2 IPS |
|
|
Object Detection (Q)
|
83% |
312
25.2 IPS |
|
|
Face Detection (SP)
|
100% |
875
10.4 IPS |
|
|
Face Detection (HP)
|
100% |
1132
13.5 IPS |
|
|
Face Detection (Q)
|
97% |
1388
16.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
780
6.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
888
6.84 IPS |
|
|
Depth Estimation (Q)
|
62% |
729
6.90 IPS |
|
|
Style Transfer (SP)
|
100% |
2004
2.58 IPS |
|
|
Style Transfer (HP)
|
100% |
2577
3.31 IPS |
|
|
Style Transfer (Q)
|
98% |
2563
3.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
377
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
465
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
457
16.9 IPS |
|
|
Text Classification (SP)
|
100% |
205
273.9 IPS |
|
|
Text Classification (HP)
|
100% |
204
272.0 IPS |
|
|
Text Classification (Q)
|
91% |
421
565.2 IPS |
|
|
Machine Translation (SP)
|
100% |
323
5.56 IPS |
|
|
Machine Translation (HP)
|
100% |
308
5.30 IPS |
|
|
Machine Translation (Q)
|
57% |
237
5.80 IPS |
