Google Pixel 7
Geekbench AI Score
921
Single Precision Score
895
Half Precision Score
1623
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 05 2025 11:59 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% |
484
90.0 IPS |
|
|
Image Classification (HP)
|
100% |
495
92.1 IPS |
|
|
Image Classification (Q)
|
100% |
1411
262.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
585
9.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
583
9.46 IPS |
|
|
Image Segmentation (Q)
|
98% |
1566
25.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
2128
2.48 IPS |
|
|
Pose Estimation (HP)
|
100% |
1815
2.12 IPS |
|
|
Pose Estimation (Q)
|
84% |
2592
3.07 IPS |
|
|
Object Detection (SP)
|
100% |
370
29.3 IPS |
|
|
Object Detection (HP)
|
100% |
356
28.3 IPS |
|
|
Object Detection (Q)
|
83% |
1055
85.2 IPS |
|
|
Face Detection (SP)
|
100% |
1236
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
1221
14.5 IPS |
|
|
Face Detection (Q)
|
95% |
2669
31.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
1613
12.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1708
13.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
2621
24.0 IPS |
|
|
Style Transfer (SP)
|
89% |
3225
4.19 IPS |
|
|
Style Transfer (HP)
|
89% |
3183
4.13 IPS |
|
|
Style Transfer (Q)
|
98% |
6605
8.52 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
911
33.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
905
33.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1605
59.5 IPS |
|
|
Text Classification (SP)
|
100% |
479
639.3 IPS |
|
|
Text Classification (HP)
|
100% |
457
610.1 IPS |
|
|
Text Classification (Q)
|
88% |
754
1.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
703
12.1 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
50% |
376
13.4 IPS |
