Google Pixel 7
Geekbench AI Score
710
Single Precision Score
1038
Half Precision Score
803
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | November 07 2025 03:25 AM |
| Views | 6 |
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% |
259
48.2 IPS |
|
|
Image Classification (HP)
|
100% |
291
54.2 IPS |
|
|
Image Classification (Q)
|
97% |
267
49.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
989
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1618
26.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1252
20.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4328
5.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
9283
10.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
8942
10.5 IPS |
|
|
Object Detection (SP)
|
100% |
369
29.2 IPS |
|
|
Object Detection (HP)
|
99% |
478
37.9 IPS |
|
|
Object Detection (Q)
|
83% |
444
35.8 IPS |
|
|
Face Detection (SP)
|
100% |
1913
22.7 IPS |
|
|
Face Detection (HP)
|
100% |
2349
27.9 IPS |
|
|
Face Detection (Q)
|
96% |
2090
24.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
2261
17.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3528
27.3 IPS |
|
|
Depth Estimation (Q)
|
62% |
2894
27.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6441
8.28 IPS |
|
|
Style Transfer (HP)
|
100% |
14707
18.9 IPS |
|
|
Style Transfer (Q)
|
98% |
14666
18.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1046
38.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1294
47.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1156
42.8 IPS |
|
|
Text Classification (SP)
|
35% |
10
91.7 IPS |
|
|
Text Classification (HP)
|
35% |
15
134.3 IPS |
|
|
Text Classification (Q)
|
32% |
11
143.3 IPS |
|
|
Machine Translation (SP)
|
100% |
274
4.72 IPS |
|
|
Machine Translation (HP)
|
100% |
296
5.10 IPS |
|
|
Machine Translation (Q)
|
43% |
75
4.39 IPS |
