Google Pixel 7
Geekbench AI Score
924
Single Precision Score
884
Half Precision Score
1582
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | Technologov |
| Upload Date | May 26 2025 08:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
530
98.5 IPS |
|
|
Image Classification (HP)
|
100% |
507
94.3 IPS |
|
|
Image Classification (Q)
|
100% |
1417
263.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
594
9.63 IPS |
|
|
Image Segmentation (HP)
|
100% |
594
9.63 IPS |
|
|
Image Segmentation (Q)
|
98% |
1562
25.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2117
2.47 IPS |
|
|
Pose Estimation (HP)
|
100% |
1808
2.11 IPS |
|
|
Pose Estimation (Q)
|
84% |
2560
3.04 IPS |
|
|
Object Detection (SP)
|
100% |
404
32.0 IPS |
|
|
Object Detection (HP)
|
100% |
360
28.5 IPS |
|
|
Object Detection (Q)
|
83% |
996
80.4 IPS |
|
|
Face Detection (SP)
|
100% |
1262
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1260
15.0 IPS |
|
|
Face Detection (Q)
|
95% |
2676
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1620
12.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1626
12.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2588
23.7 IPS |
|
|
Style Transfer (SP)
|
89% |
3203
4.16 IPS |
|
|
Style Transfer (HP)
|
89% |
3006
3.90 IPS |
|
|
Style Transfer (Q)
|
98% |
6066
7.82 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
859
31.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
910
33.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1611
59.7 IPS |
|
|
Text Classification (SP)
|
100% |
440
586.9 IPS |
|
|
Text Classification (HP)
|
100% |
434
578.9 IPS |
|
|
Text Classification (Q)
|
88% |
692
933.9 IPS |
|
|
Machine Translation (SP)
|
100% |
688
11.8 IPS |
|
|
Machine Translation (HP)
|
100% |
617
10.6 IPS |
|
|
Machine Translation (Q)
|
50% |
373
13.3 IPS |
