Google Pixel 7
Geekbench AI Score
494
Single Precision Score
606
Half Precision Score
602
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | daviangel |
| Upload Date | March 08 2025 08:29 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| 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% |
227
42.3 IPS |
|
|
Image Classification (HP)
|
100% |
307
57.1 IPS |
|
|
Image Classification (Q)
|
99% |
245
45.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
673
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
867
14.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
787
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
457
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
623
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
622
0.73 IPS |
|
|
Object Detection (SP)
|
100% |
244
19.4 IPS |
|
|
Object Detection (HP)
|
100% |
347
27.6 IPS |
|
|
Object Detection (Q)
|
83% |
410
33.2 IPS |
|
|
Face Detection (SP)
|
100% |
1255
14.9 IPS |
|
|
Face Detection (HP)
|
100% |
1485
17.6 IPS |
|
|
Face Detection (Q)
|
97% |
1263
15.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
795
6.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
948
7.31 IPS |
|
|
Depth Estimation (Q)
|
62% |
767
7.26 IPS |
|
|
Style Transfer (SP)
|
100% |
2046
2.63 IPS |
|
|
Style Transfer (HP)
|
100% |
2644
3.40 IPS |
|
|
Style Transfer (Q)
|
98% |
2620
3.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
424
15.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
532
19.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
514
19.0 IPS |
|
|
Text Classification (SP)
|
100% |
195
260.4 IPS |
|
|
Text Classification (HP)
|
100% |
196
262.2 IPS |
|
|
Text Classification (Q)
|
91% |
402
540.8 IPS |
|
|
Machine Translation (SP)
|
100% |
305
5.25 IPS |
|
|
Machine Translation (HP)
|
100% |
301
5.19 IPS |
|
|
Machine Translation (Q)
|
57% |
246
6.01 IPS |
