Google Pixel 7
Geekbench AI Score
889
Single Precision Score
868
Half Precision Score
1558
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 21 2025 02:00 AM |
| Views | 2 |
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% |
537
99.9 IPS |
|
|
Image Classification (HP)
|
100% |
520
96.7 IPS |
|
|
Image Classification (Q)
|
100% |
1420
264.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
618
10.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
588
9.53 IPS |
|
|
Image Segmentation (Q)
|
98% |
1568
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2103
2.45 IPS |
|
|
Pose Estimation (HP)
|
100% |
1750
2.04 IPS |
|
|
Pose Estimation (Q)
|
84% |
2356
2.79 IPS |
|
|
Object Detection (SP)
|
100% |
333
26.4 IPS |
|
|
Object Detection (HP)
|
100% |
369
29.3 IPS |
|
|
Object Detection (Q)
|
83% |
969
78.3 IPS |
|
|
Face Detection (SP)
|
100% |
1049
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1185
14.1 IPS |
|
|
Face Detection (Q)
|
95% |
2467
29.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1612
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1522
11.7 IPS |
|
|
Depth Estimation (Q)
|
64% |
2618
24.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3210
4.17 IPS |
|
|
Style Transfer (HP)
|
89% |
2960
3.84 IPS |
|
|
Style Transfer (Q)
|
98% |
6040
7.79 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
861
31.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
864
31.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1606
59.5 IPS |
|
|
Text Classification (SP)
|
100% |
434
579.2 IPS |
|
|
Text Classification (HP)
|
100% |
428
570.8 IPS |
|
|
Text Classification (Q)
|
88% |
696
939.1 IPS |
|
|
Machine Translation (SP)
|
100% |
659
11.4 IPS |
|
|
Machine Translation (HP)
|
100% |
623
10.7 IPS |
|
|
Machine Translation (Q)
|
50% |
382
13.6 IPS |
