Google Pixel 7
Geekbench AI Score
912
Single Precision Score
884
Half Precision Score
1568
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 02:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 16 |
| 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% |
522
97.0 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.8 IPS |
|
|
Image Classification (Q)
|
100% |
1482
275.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
578
9.37 IPS |
|
|
Image Segmentation (HP)
|
100% |
582
9.44 IPS |
|
|
Image Segmentation (Q)
|
98% |
1475
24.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
2026
2.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
1752
2.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
2570
3.05 IPS |
|
|
Object Detection (SP)
|
100% |
376
29.9 IPS |
|
|
Object Detection (HP)
|
100% |
371
29.4 IPS |
|
|
Object Detection (Q)
|
83% |
965
77.9 IPS |
|
|
Face Detection (SP)
|
100% |
1179
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
1185
14.1 IPS |
|
|
Face Detection (Q)
|
95% |
2639
31.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1636
12.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1613
12.4 IPS |
|
|
Depth Estimation (Q)
|
64% |
2623
24.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3210
4.17 IPS |
|
|
Style Transfer (HP)
|
89% |
2969
3.85 IPS |
|
|
Style Transfer (Q)
|
98% |
6018
7.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
918
33.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
917
33.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1609
59.6 IPS |
|
|
Text Classification (SP)
|
100% |
438
585.2 IPS |
|
|
Text Classification (HP)
|
100% |
427
569.3 IPS |
|
|
Text Classification (Q)
|
88% |
690
930.9 IPS |
|
|
Machine Translation (SP)
|
100% |
702
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
694
12.0 IPS |
|
|
Machine Translation (Q)
|
50% |
360
12.8 IPS |
