Google Pixel 7
Geekbench AI Score
1034
Single Precision Score
1021
Half Precision Score
1842
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | June 04 2025 01:49 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
541
100.6 IPS |
|
|
Image Classification (HP)
|
100% |
532
98.9 IPS |
|
|
Image Classification (Q)
|
100% |
1552
288.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
651
10.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
652
10.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1721
28.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2414
2.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
2380
2.78 IPS |
|
|
Pose Estimation (Q)
|
84% |
3634
4.31 IPS |
|
|
Object Detection (SP)
|
100% |
509
40.4 IPS |
|
|
Object Detection (HP)
|
100% |
510
40.4 IPS |
|
|
Object Detection (Q)
|
83% |
1348
108.9 IPS |
|
|
Face Detection (SP)
|
100% |
1531
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1521
18.1 IPS |
|
|
Face Detection (Q)
|
95% |
3362
40.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
1904
14.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1810
13.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2909
26.6 IPS |
|
|
Style Transfer (SP)
|
89% |
3480
4.52 IPS |
|
|
Style Transfer (HP)
|
89% |
3499
4.54 IPS |
|
|
Style Transfer (Q)
|
98% |
6764
8.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
963
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1757
65.1 IPS |
|
|
Text Classification (SP)
|
100% |
462
617.3 IPS |
|
|
Text Classification (HP)
|
100% |
460
613.9 IPS |
|
|
Text Classification (Q)
|
88% |
763
1.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
721
12.4 IPS |
|
|
Machine Translation (HP)
|
100% |
688
11.8 IPS |
|
|
Machine Translation (Q)
|
50% |
389
13.8 IPS |
