Google Pixel 7
Geekbench AI Score
558
Single Precision Score
675
Half Precision Score
667
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 11 2024 08:42 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 13 |
| 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 | 7.25 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
353
65.6 IPS |
|
|
Image Classification (HP)
|
100% |
552
102.6 IPS |
|
|
Image Classification (Q)
|
97% |
522
97.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
464
7.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
611
9.90 IPS |
|
|
Image Segmentation (Q)
|
98% |
587
9.54 IPS |
|
|
Pose Estimation (SP)
|
100% |
473
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
661
0.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
655
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
298
23.6 IPS |
|
|
Object Detection (HP)
|
100% |
406
32.2 IPS |
|
|
Object Detection (Q)
|
92% |
385
30.7 IPS |
|
|
Face Detection (SP)
|
100% |
1294
15.4 IPS |
|
|
Face Detection (HP)
|
100% |
1458
17.3 IPS |
|
|
Face Detection (Q)
|
97% |
1398
16.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
804
6.20 IPS |
|
|
Depth Estimation (HP)
|
99% |
888
6.84 IPS |
|
|
Depth Estimation (Q)
|
72% |
831
6.88 IPS |
|
|
Style Transfer (SP)
|
100% |
2076
2.67 IPS |
|
|
Style Transfer (HP)
|
100% |
2550
3.28 IPS |
|
|
Style Transfer (Q)
|
98% |
2519
3.25 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
400
14.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
462
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
445
16.5 IPS |
|
|
Text Classification (SP)
|
100% |
315
420.2 IPS |
|
|
Text Classification (HP)
|
100% |
315
420.0 IPS |
|
|
Text Classification (Q)
|
91% |
543
730.1 IPS |
|
|
Machine Translation (SP)
|
100% |
474
8.17 IPS |
|
|
Machine Translation (HP)
|
100% |
453
7.80 IPS |
|
|
Machine Translation (Q)
|
57% |
321
7.84 IPS |
