Google Pixel 7
Geekbench AI Score
490
Single Precision Score
572
Half Precision Score
578
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | April 11 2025 03:22 AM |
| Views | 3 |
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
42.6 IPS |
|
|
Image Classification (HP)
|
100% |
233
43.3 IPS |
|
|
Image Classification (Q)
|
99% |
227
42.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
678
11.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
871
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
845
13.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
454
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
623
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
619
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (HP)
|
100% |
303
24.0 IPS |
|
|
Object Detection (Q)
|
83% |
310
25.1 IPS |
|
|
Face Detection (SP)
|
100% |
1132
13.5 IPS |
|
|
Face Detection (HP)
|
100% |
1328
15.8 IPS |
|
|
Face Detection (Q)
|
97% |
1215
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
771
5.94 IPS |
|
|
Depth Estimation (HP)
|
99% |
909
7.01 IPS |
|
|
Depth Estimation (Q)
|
62% |
733
6.93 IPS |
|
|
Style Transfer (SP)
|
100% |
2007
2.58 IPS |
|
|
Style Transfer (HP)
|
100% |
2605
3.35 IPS |
|
|
Style Transfer (Q)
|
98% |
2601
3.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
385
14.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
479
17.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
480
17.8 IPS |
|
|
Text Classification (SP)
|
100% |
207
276.3 IPS |
|
|
Text Classification (HP)
|
100% |
206
275.2 IPS |
|
|
Text Classification (Q)
|
91% |
415
558.3 IPS |
|
|
Machine Translation (SP)
|
100% |
329
5.67 IPS |
|
|
Machine Translation (HP)
|
100% |
319
5.50 IPS |
|
|
Machine Translation (Q)
|
57% |
248
6.05 IPS |
