Google Pixel 7
Geekbench AI Score
506
Single Precision Score
570
Half Precision Score
590
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | November 18 2024 07:51 AM |
| Views | 1 |
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 | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
265
49.2 IPS |
|
|
Image Classification (HP)
|
100% |
241
44.8 IPS |
|
|
Image Classification (Q)
|
99% |
248
46.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
620
10.1 IPS |
|
|
Image Segmentation (HP)
|
97% |
738
12.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
713
11.6 IPS |
|
|
Pose Estimation (SP)
|
99% |
444
0.52 IPS |
|
|
Pose Estimation (HP)
|
97% |
620
0.73 IPS |
|
|
Pose Estimation (Q)
|
89% |
610
0.72 IPS |
|
|
Object Detection (SP)
|
93% |
218
17.4 IPS |
|
|
Object Detection (HP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (Q)
|
82% |
312
25.3 IPS |
|
|
Face Detection (SP)
|
100% |
865
10.3 IPS |
|
|
Face Detection (HP)
|
100% |
1211
14.4 IPS |
|
|
Face Detection (Q)
|
83% |
1153
14.0 IPS |
|
|
Depth Estimation (SP)
|
91% |
740
5.74 IPS |
|
|
Depth Estimation (HP)
|
53% |
516
6.75 IPS |
|
|
Depth Estimation (Q)
|
62% |
732
6.93 IPS |
|
|
Style Transfer (SP)
|
99% |
1980
2.55 IPS |
|
|
Style Transfer (HP)
|
97% |
2553
3.29 IPS |
|
|
Style Transfer (Q)
|
97% |
2524
3.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
365
13.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
456
16.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
448
16.6 IPS |
|
|
Text Classification (SP)
|
100% |
317
422.5 IPS |
|
|
Text Classification (HP)
|
100% |
316
421.7 IPS |
|
|
Text Classification (Q)
|
91% |
537
722.1 IPS |
|
|
Machine Translation (SP)
|
100% |
472
8.12 IPS |
|
|
Machine Translation (HP)
|
100% |
455
7.83 IPS |
|
|
Machine Translation (Q)
|
57% |
298
7.28 IPS |
