Google Pixel 7
Geekbench AI Score
489
Single Precision Score
574
Half Precision Score
579
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 07:28 PM |
| 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% |
237
44.0 IPS |
|
|
Image Classification (HP)
|
100% |
248
46.2 IPS |
|
|
Image Classification (Q)
|
99% |
234
43.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
828
13.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
780
12.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
451
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
623
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
620
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
240
19.1 IPS |
|
|
Object Detection (HP)
|
100% |
320
25.4 IPS |
|
|
Object Detection (Q)
|
83% |
317
25.6 IPS |
|
|
Face Detection (SP)
|
100% |
1216
14.5 IPS |
|
|
Face Detection (HP)
|
100% |
1337
15.9 IPS |
|
|
Face Detection (Q)
|
97% |
1305
15.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
765
5.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
922
7.10 IPS |
|
|
Depth Estimation (Q)
|
62% |
744
7.04 IPS |
|
|
Style Transfer (SP)
|
100% |
2020
2.60 IPS |
|
|
Style Transfer (HP)
|
100% |
2614
3.36 IPS |
|
|
Style Transfer (Q)
|
98% |
2595
3.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
384
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
470
17.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
462
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
204
272.9 IPS |
|
|
Text Classification (HP)
|
100% |
204
271.8 IPS |
|
|
Text Classification (Q)
|
91% |
416
558.9 IPS |
|
|
Machine Translation (SP)
|
100% |
325
5.59 IPS |
|
|
Machine Translation (HP)
|
100% |
309
5.33 IPS |
|
|
Machine Translation (Q)
|
57% |
246
6.00 IPS |
