Google Pixel 7
Geekbench AI Score
490
Single Precision Score
565
Half Precision Score
559
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 12 2025 02:38 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% |
255
47.4 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.9 IPS |
|
|
Image Classification (Q)
|
99% |
226
42.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
891
14.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
762
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
449
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
622
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
616
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
246
19.5 IPS |
|
|
Object Detection (HP)
|
100% |
324
25.7 IPS |
|
|
Object Detection (Q)
|
83% |
316
25.5 IPS |
|
|
Face Detection (SP)
|
100% |
1179
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1127
13.4 IPS |
|
|
Face Detection (Q)
|
97% |
1090
13.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
762
5.87 IPS |
|
|
Depth Estimation (HP)
|
99% |
906
6.98 IPS |
|
|
Depth Estimation (Q)
|
62% |
724
6.85 IPS |
|
|
Style Transfer (SP)
|
100% |
1993
2.56 IPS |
|
|
Style Transfer (HP)
|
100% |
2608
3.35 IPS |
|
|
Style Transfer (Q)
|
98% |
2571
3.32 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
376
13.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
467
17.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
453
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
204
272.9 IPS |
|
|
Text Classification (HP)
|
100% |
202
269.5 IPS |
|
|
Text Classification (Q)
|
91% |
420
564.1 IPS |
|
|
Machine Translation (SP)
|
100% |
329
5.66 IPS |
|
|
Machine Translation (HP)
|
100% |
309
5.32 IPS |
|
|
Machine Translation (Q)
|
57% |
233
5.69 IPS |
