Google Pixel 7
Geekbench AI Score
782
Single Precision Score
744
Half Precision Score
1295
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | August 23 2025 06:45 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% |
526
97.8 IPS |
|
|
Image Classification (HP)
|
100% |
501
93.2 IPS |
|
|
Image Classification (Q)
|
100% |
1379
256.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
582
9.43 IPS |
|
|
Image Segmentation (HP)
|
100% |
568
9.20 IPS |
|
|
Image Segmentation (Q)
|
98% |
1491
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1907
2.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
1435
1.67 IPS |
|
|
Pose Estimation (Q)
|
84% |
1859
2.20 IPS |
|
|
Object Detection (SP)
|
100% |
269
21.3 IPS |
|
|
Object Detection (HP)
|
100% |
297
23.6 IPS |
|
|
Object Detection (Q)
|
83% |
742
59.9 IPS |
|
|
Face Detection (SP)
|
100% |
972
11.6 IPS |
|
|
Face Detection (HP)
|
100% |
982
11.7 IPS |
|
|
Face Detection (Q)
|
95% |
1975
23.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1383
10.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
1273
9.81 IPS |
|
|
Depth Estimation (Q)
|
64% |
2109
19.3 IPS |
|
|
Style Transfer (SP)
|
89% |
2668
3.46 IPS |
|
|
Style Transfer (HP)
|
89% |
2432
3.16 IPS |
|
|
Style Transfer (Q)
|
98% |
4908
6.33 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
769
28.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
729
26.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1304
48.3 IPS |
|
|
Text Classification (SP)
|
100% |
359
479.1 IPS |
|
|
Text Classification (HP)
|
100% |
367
489.5 IPS |
|
|
Text Classification (Q)
|
88% |
563
759.0 IPS |
|
|
Machine Translation (SP)
|
100% |
553
9.53 IPS |
|
|
Machine Translation (HP)
|
100% |
533
9.19 IPS |
|
|
Machine Translation (Q)
|
50% |
314
11.1 IPS |
