Google Pixel 7
Geekbench AI Score
846
Single Precision Score
810
Half Precision Score
1400
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 24 2025 05:39 PM |
| Views | 5 |
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% |
485
90.2 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.7 IPS |
|
|
Image Classification (Q)
|
100% |
1381
256.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
579
9.38 IPS |
|
|
Image Segmentation (HP)
|
100% |
553
8.97 IPS |
|
|
Image Segmentation (Q)
|
98% |
1466
23.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
1838
2.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
1360
1.59 IPS |
|
|
Pose Estimation (Q)
|
84% |
2066
2.45 IPS |
|
|
Object Detection (SP)
|
100% |
329
26.1 IPS |
|
|
Object Detection (HP)
|
100% |
332
26.4 IPS |
|
|
Object Detection (Q)
|
83% |
856
69.1 IPS |
|
|
Face Detection (SP)
|
100% |
1170
13.9 IPS |
|
|
Face Detection (HP)
|
100% |
1146
13.6 IPS |
|
|
Face Detection (Q)
|
95% |
2195
26.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1521
11.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1541
11.9 IPS |
|
|
Depth Estimation (Q)
|
64% |
2359
21.6 IPS |
|
|
Style Transfer (SP)
|
89% |
2935
3.81 IPS |
|
|
Style Transfer (HP)
|
89% |
2671
3.47 IPS |
|
|
Style Transfer (Q)
|
98% |
5988
7.72 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
806
29.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
881
32.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1306
48.4 IPS |
|
|
Text Classification (SP)
|
100% |
399
532.4 IPS |
|
|
Text Classification (HP)
|
100% |
400
534.0 IPS |
|
|
Text Classification (Q)
|
88% |
634
855.4 IPS |
|
|
Machine Translation (SP)
|
100% |
663
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
594
10.2 IPS |
|
|
Machine Translation (Q)
|
50% |
315
11.2 IPS |
