Google Pixel 7
Geekbench AI Score
695
Single Precision Score
1014
Half Precision Score
795
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 20 2025 01:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
248
46.0 IPS |
|
|
Image Classification (HP)
|
100% |
287
53.4 IPS |
|
|
Image Classification (Q)
|
97% |
273
51.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
980
15.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1374
22.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
4301
5.02 IPS |
|
|
Pose Estimation (HP)
|
100% |
9146
10.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
8720
10.2 IPS |
|
|
Object Detection (SP)
|
100% |
361
28.6 IPS |
|
|
Object Detection (HP)
|
99% |
447
35.4 IPS |
|
|
Object Detection (Q)
|
83% |
429
34.6 IPS |
|
|
Face Detection (SP)
|
100% |
1674
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
2441
29.0 IPS |
|
|
Face Detection (Q)
|
96% |
2328
27.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2253
17.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3493
27.0 IPS |
|
|
Depth Estimation (Q)
|
62% |
2789
26.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6428
8.26 IPS |
|
|
Style Transfer (HP)
|
100% |
15363
19.7 IPS |
|
|
Style Transfer (Q)
|
98% |
14079
18.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1066
39.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1169
43.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1154
42.8 IPS |
|
|
Text Classification (SP)
|
35% |
10
91.7 IPS |
|
|
Text Classification (HP)
|
35% |
14
126.6 IPS |
|
|
Text Classification (Q)
|
32% |
9
120.4 IPS |
|
|
Machine Translation (SP)
|
100% |
270
4.65 IPS |
|
|
Machine Translation (HP)
|
100% |
281
4.85 IPS |
|
|
Machine Translation (Q)
|
43% |
76
4.43 IPS |
