Google Pixel 7
Geekbench AI Score
690
Single Precision Score
1036
Half Precision Score
819
Quantized Score
Geekbench AI 1.4.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | July 20 2025 03:50 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% |
224
41.6 IPS |
|
|
Image Classification (HP)
|
100% |
323
60.1 IPS |
|
|
Image Classification (Q)
|
97% |
286
53.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1001
16.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1569
25.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1443
23.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4426
5.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
9108
10.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
9363
11.0 IPS |
|
|
Object Detection (SP)
|
100% |
361
28.6 IPS |
|
|
Object Detection (HP)
|
99% |
443
35.1 IPS |
|
|
Object Detection (Q)
|
83% |
438
35.3 IPS |
|
|
Face Detection (SP)
|
100% |
1673
19.9 IPS |
|
|
Face Detection (HP)
|
100% |
2366
28.1 IPS |
|
|
Face Detection (Q)
|
96% |
2314
27.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2287
17.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
3544
27.4 IPS |
|
|
Depth Estimation (Q)
|
62% |
2806
26.7 IPS |
|
|
Style Transfer (SP)
|
100% |
6581
8.46 IPS |
|
|
Style Transfer (HP)
|
100% |
15844
20.4 IPS |
|
|
Style Transfer (Q)
|
98% |
15054
19.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1093
40.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1324
48.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1204
44.6 IPS |
|
|
Text Classification (SP)
|
35% |
9
85.7 IPS |
|
|
Text Classification (HP)
|
35% |
14
126.4 IPS |
|
|
Text Classification (Q)
|
32% |
9
119.9 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (HP)
|
100% |
285
4.91 IPS |
|
|
Machine Translation (Q)
|
43% |
76
4.44 IPS |
