Google Pixel 7
Geekbench AI Score
215
Single Precision Score
1958
Half Precision Score
6117
Quantized Score
Geekbench AI 1.5.0 for Android AArch64
Result Information
| User | M91 |
| Upload Date | October 14 2025 06:33 PM |
| 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% |
145
27.0 IPS |
|
|
Image Classification (HP)
|
100% |
4640
862.9 IPS |
|
|
Image Classification (Q)
|
99% |
7408
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
189
3.06 IPS |
|
|
Image Segmentation (HP)
|
100% |
4658
75.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7813
127.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
227
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
16616
19.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
30395
35.6 IPS |
|
|
Object Detection (SP)
|
100% |
128
10.1 IPS |
|
|
Object Detection (HP)
|
100% |
3977
315.4 IPS |
|
|
Object Detection (Q)
|
87% |
5646
452.9 IPS |
|
|
Face Detection (SP)
|
100% |
367
4.36 IPS |
|
|
Face Detection (HP)
|
100% |
338
4.02 IPS |
|
|
Face Detection (Q)
|
97% |
25773
307.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
276
2.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
17954
138.3 IPS |
|
|
Depth Estimation (Q)
|
64% |
27293
251.2 IPS |
|
|
Style Transfer (SP)
|
100% |
442
0.57 IPS |
|
|
Style Transfer (HP)
|
100% |
423
0.54 IPS |
|
|
Style Transfer (Q)
|
58% |
1788
3.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
127
4.67 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5003
184.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10972
406.6 IPS |
|
|
Text Classification (SP)
|
100% |
170
227.1 IPS |
|
|
Text Classification (HP)
|
100% |
170
226.6 IPS |
|
|
Text Classification (Q)
|
92% |
2176
2.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
287
4.95 IPS |
|
|
Machine Translation (HP)
|
100% |
266
4.57 IPS |
|
|
Machine Translation (Q)
|
57% |
246
6.01 IPS |
