Google Pixel 7
Geekbench AI Score
878
Single Precision Score
891
Half Precision Score
1643
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 02 2025 12:26 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% |
375
69.7 IPS |
|
|
Image Classification (HP)
|
100% |
365
68.0 IPS |
|
|
Image Classification (Q)
|
100% |
1469
273.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
454
7.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
642
10.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1742
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2222
2.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
1964
2.29 IPS |
|
|
Pose Estimation (Q)
|
84% |
2600
3.08 IPS |
|
|
Object Detection (SP)
|
100% |
403
31.9 IPS |
|
|
Object Detection (HP)
|
100% |
371
29.5 IPS |
|
|
Object Detection (Q)
|
83% |
1002
80.9 IPS |
|
|
Face Detection (SP)
|
100% |
1230
14.6 IPS |
|
|
Face Detection (HP)
|
100% |
1254
14.9 IPS |
|
|
Face Detection (Q)
|
95% |
2693
32.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1610
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1719
13.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2852
26.1 IPS |
|
|
Style Transfer (SP)
|
89% |
3242
4.21 IPS |
|
|
Style Transfer (HP)
|
89% |
3205
4.16 IPS |
|
|
Style Transfer (Q)
|
98% |
6423
8.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
915
33.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
937
34.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1617
59.9 IPS |
|
|
Text Classification (SP)
|
100% |
432
576.9 IPS |
|
|
Text Classification (HP)
|
100% |
463
617.8 IPS |
|
|
Text Classification (Q)
|
88% |
758
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
711
12.2 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
357
12.7 IPS |
