Google Pixel 7
Geekbench AI Score
705
Single Precision Score
1034
Half Precision Score
807
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | September 10 2025 12:43 PM |
| Views | 4 |
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% |
249
46.3 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.0 IPS |
|
|
Image Classification (Q)
|
97% |
266
49.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1040
16.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
1559
25.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1244
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4337
5.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
9546
11.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
9257
10.8 IPS |
|
|
Object Detection (SP)
|
100% |
350
27.7 IPS |
|
|
Object Detection (HP)
|
99% |
552
43.8 IPS |
|
|
Object Detection (Q)
|
83% |
449
36.3 IPS |
|
|
Face Detection (SP)
|
100% |
1741
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
2297
27.3 IPS |
|
|
Face Detection (Q)
|
96% |
2417
28.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
2354
18.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
3553
27.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
2836
26.9 IPS |
|
|
Style Transfer (SP)
|
100% |
6490
8.34 IPS |
|
|
Style Transfer (HP)
|
100% |
15046
19.3 IPS |
|
|
Style Transfer (Q)
|
98% |
13961
18.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1030
38.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1195
44.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1181
43.8 IPS |
|
|
Text Classification (SP)
|
35% |
10
93.6 IPS |
|
|
Text Classification (HP)
|
35% |
14
125.7 IPS |
|
|
Text Classification (Q)
|
32% |
10
124.1 IPS |
|
|
Machine Translation (SP)
|
100% |
282
4.86 IPS |
|
|
Machine Translation (HP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (Q)
|
43% |
76
4.42 IPS |
