Google Pixel 7
Geekbench AI Score
557
Single Precision Score
684
Half Precision Score
652
Quantized Score
Geekbench AI 1.0.0 Corporate for Android AArch64
Result Information
| Upload Date | August 15 2024 03:49 AM |
| Views | 13 |
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% |
342
63.6 IPS |
|
|
Image Classification (HP)
|
100% |
546
101.5 IPS |
|
|
Image Classification (Q)
|
97% |
363
67.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
516
8.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
622
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
472
0.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
660
0.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
656
0.77 IPS |
|
|
Object Detection (SP)
|
100% |
291
23.0 IPS |
|
|
Object Detection (HP)
|
100% |
432
34.2 IPS |
|
|
Object Detection (Q)
|
92% |
397
31.7 IPS |
|
|
Face Detection (SP)
|
100% |
1250
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1521
18.1 IPS |
|
|
Face Detection (Q)
|
97% |
1406
16.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
801
6.17 IPS |
|
|
Depth Estimation (HP)
|
99% |
884
6.81 IPS |
|
|
Depth Estimation (Q)
|
72% |
821
6.80 IPS |
|
|
Style Transfer (SP)
|
100% |
2071
2.66 IPS |
|
|
Style Transfer (HP)
|
100% |
2553
3.28 IPS |
|
|
Style Transfer (Q)
|
98% |
2537
3.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
389
14.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
471
17.5 IPS |
|
|
Text Classification (SP)
|
100% |
315
420.6 IPS |
|
|
Text Classification (HP)
|
100% |
317
422.5 IPS |
|
|
Text Classification (Q)
|
91% |
544
730.5 IPS |
|
|
Machine Translation (SP)
|
100% |
471
8.12 IPS |
|
|
Machine Translation (HP)
|
100% |
464
7.99 IPS |
|
|
Machine Translation (Q)
|
57% |
319
7.80 IPS |
