Google Pixel 7
Geekbench AI Score
743
Single Precision Score
1033
Half Precision Score
815
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 11:07 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% |
267
49.7 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.0 IPS |
|
|
Image Classification (Q)
|
97% |
296
55.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1048
17.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1621
26.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
1362
22.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4491
5.24 IPS |
|
|
Pose Estimation (HP)
|
100% |
8940
10.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
9139
10.7 IPS |
|
|
Object Detection (SP)
|
100% |
346
27.5 IPS |
|
|
Object Detection (HP)
|
99% |
441
35.0 IPS |
|
|
Object Detection (Q)
|
83% |
426
34.4 IPS |
|
|
Face Detection (SP)
|
100% |
2318
27.5 IPS |
|
|
Face Detection (HP)
|
100% |
2276
27.0 IPS |
|
|
Face Detection (Q)
|
96% |
2140
25.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2256
17.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3553
27.5 IPS |
|
|
Depth Estimation (Q)
|
62% |
2944
28.0 IPS |
|
|
Style Transfer (SP)
|
100% |
6482
8.33 IPS |
|
|
Style Transfer (HP)
|
100% |
15620
20.1 IPS |
|
|
Style Transfer (Q)
|
98% |
15572
20.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1052
38.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1229
45.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1141
42.3 IPS |
|
|
Text Classification (SP)
|
35% |
12
112.2 IPS |
|
|
Text Classification (HP)
|
35% |
16
141.1 IPS |
|
|
Text Classification (Q)
|
32% |
10
131.2 IPS |
|
|
Machine Translation (SP)
|
100% |
277
4.77 IPS |
|
|
Machine Translation (HP)
|
100% |
286
4.93 IPS |
|
|
Machine Translation (Q)
|
43% |
74
4.30 IPS |
