Google Pixel 7
Geekbench AI Score
226
Single Precision Score
2257
Half Precision Score
6971
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 22 2025 11:18 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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% |
147
27.3 IPS |
|
|
Image Classification (HP)
|
100% |
5594
1.04 KIPS |
|
|
Image Classification (Q)
|
99% |
8459
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
188
3.05 IPS |
|
|
Image Segmentation (HP)
|
100% |
5348
86.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
9367
152.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
229
0.27 IPS |
|
|
Pose Estimation (HP)
|
100% |
20858
24.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
38108
44.6 IPS |
|
|
Object Detection (SP)
|
100% |
132
10.5 IPS |
|
|
Object Detection (HP)
|
100% |
4683
371.5 IPS |
|
|
Object Detection (Q)
|
87% |
6580
527.8 IPS |
|
|
Face Detection (SP)
|
100% |
364
4.32 IPS |
|
|
Face Detection (HP)
|
100% |
366
4.35 IPS |
|
|
Face Detection (Q)
|
97% |
30581
364.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
288
2.22 IPS |
|
|
Depth Estimation (HP)
|
99% |
22612
174.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
33806
311.2 IPS |
|
|
Style Transfer (SP)
|
100% |
473
0.61 IPS |
|
|
Style Transfer (HP)
|
100% |
475
0.61 IPS |
|
|
Style Transfer (Q)
|
58% |
1938
3.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
139
5.12 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5010
185.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
11060
409.8 IPS |
|
|
Text Classification (SP)
|
100% |
194
258.8 IPS |
|
|
Text Classification (HP)
|
100% |
193
257.6 IPS |
|
|
Text Classification (Q)
|
92% |
2231
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
318
5.48 IPS |
|
|
Machine Translation (HP)
|
100% |
310
5.33 IPS |
|
|
Machine Translation (Q)
|
57% |
276
6.75 IPS |
