Google Pixel 7
Geekbench AI Score
852
Single Precision Score
817
Half Precision Score
1502
Quantized Score
Geekbench AI 1.0.0 for Android AArch64
Result Information
| User | aeonsim |
| Upload Date | August 16 2024 03:38 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| 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% |
475
88.3 IPS |
|
|
Image Classification (HP)
|
100% |
511
95.0 IPS |
|
|
Image Classification (Q)
|
100% |
1478
274.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
639
10.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
593
9.61 IPS |
|
|
Image Segmentation (Q)
|
98% |
1639
26.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
2051
2.39 IPS |
|
|
Pose Estimation (HP)
|
100% |
1601
1.87 IPS |
|
|
Pose Estimation (Q)
|
84% |
2066
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
328
26.0 IPS |
|
|
Object Detection (HP)
|
100% |
314
24.9 IPS |
|
|
Object Detection (Q)
|
87% |
886
71.2 IPS |
|
|
Face Detection (SP)
|
100% |
1038
12.3 IPS |
|
|
Face Detection (HP)
|
100% |
1176
14.0 IPS |
|
|
Face Detection (Q)
|
95% |
2469
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1505
11.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
1499
11.5 IPS |
|
|
Depth Estimation (Q)
|
75% |
2676
21.7 IPS |
|
|
Style Transfer (SP)
|
89% |
2973
3.86 IPS |
|
|
Style Transfer (HP)
|
89% |
2713
3.52 IPS |
|
|
Style Transfer (Q)
|
98% |
6016
7.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
849
31.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
851
31.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1449
53.7 IPS |
|
|
Text Classification (SP)
|
100% |
391
521.7 IPS |
|
|
Text Classification (HP)
|
100% |
382
509.7 IPS |
|
|
Text Classification (Q)
|
88% |
600
809.9 IPS |
|
|
Machine Translation (SP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (HP)
|
100% |
563
9.70 IPS |
|
|
Machine Translation (Q)
|
50% |
383
13.6 IPS |
