Google Pixel 7
Geekbench AI Score
830
Single Precision Score
806
Half Precision Score
1382
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 02 2025 02:40 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% |
531
98.8 IPS |
|
|
Image Classification (HP)
|
100% |
522
97.1 IPS |
|
|
Image Classification (Q)
|
100% |
1494
277.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
614
9.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
609
9.87 IPS |
|
|
Image Segmentation (Q)
|
98% |
1636
26.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2073
2.42 IPS |
|
|
Pose Estimation (HP)
|
100% |
1631
1.90 IPS |
|
|
Pose Estimation (Q)
|
84% |
1698
2.01 IPS |
|
|
Object Detection (SP)
|
100% |
302
23.9 IPS |
|
|
Object Detection (HP)
|
100% |
300
23.8 IPS |
|
|
Object Detection (Q)
|
83% |
801
64.7 IPS |
|
|
Face Detection (SP)
|
100% |
1053
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1051
12.5 IPS |
|
|
Face Detection (Q)
|
95% |
2340
27.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1510
11.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1366
10.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2101
19.2 IPS |
|
|
Style Transfer (SP)
|
89% |
2973
3.86 IPS |
|
|
Style Transfer (HP)
|
89% |
2663
3.46 IPS |
|
|
Style Transfer (Q)
|
98% |
5402
6.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
773
28.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
862
31.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1406
52.1 IPS |
|
|
Text Classification (SP)
|
100% |
351
467.9 IPS |
|
|
Text Classification (HP)
|
100% |
393
524.4 IPS |
|
|
Text Classification (Q)
|
88% |
632
852.4 IPS |
|
|
Machine Translation (SP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
576
9.92 IPS |
|
|
Machine Translation (Q)
|
50% |
326
11.6 IPS |
