Google Pixel 7a
Geekbench AI Score
500
Single Precision Score
596
Half Precision Score
597
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | soske66 |
| Upload Date | April 11 2025 07:49 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| Device | Google Tensor G2 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | Google Pixel 7a |
| Model ID | Google Pixel 7a |
| Motherboard | lynx |
| 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% |
279
51.9 IPS |
|
|
Image Classification (HP)
|
100% |
255
47.5 IPS |
|
|
Image Classification (Q)
|
99% |
277
51.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
671
10.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
914
14.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
889
14.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
456
0.53 IPS |
|
|
Pose Estimation (HP)
|
100% |
623
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
619
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
269
21.4 IPS |
|
|
Object Detection (HP)
|
100% |
417
33.1 IPS |
|
|
Object Detection (Q)
|
83% |
348
28.1 IPS |
|
|
Face Detection (SP)
|
100% |
1200
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
1287
15.3 IPS |
|
|
Face Detection (Q)
|
97% |
1454
17.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
796
6.13 IPS |
|
|
Depth Estimation (HP)
|
99% |
961
7.41 IPS |
|
|
Depth Estimation (Q)
|
62% |
753
7.13 IPS |
|
|
Style Transfer (SP)
|
100% |
2038
2.62 IPS |
|
|
Style Transfer (HP)
|
100% |
2644
3.40 IPS |
|
|
Style Transfer (Q)
|
98% |
2612
3.37 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
417
15.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
541
20.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
463
17.1 IPS |
|
|
Text Classification (SP)
|
100% |
182
243.1 IPS |
|
|
Text Classification (HP)
|
100% |
181
241.2 IPS |
|
|
Text Classification (Q)
|
91% |
383
515.0 IPS |
|
|
Machine Translation (SP)
|
100% |
293
5.05 IPS |
|
|
Machine Translation (HP)
|
100% |
292
5.04 IPS |
|
|
Machine Translation (Q)
|
57% |
216
5.28 IPS |
