Google Pixel 7a
Geekbench AI Score
478
Single Precision Score
568
Half Precision Score
559
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| User | andriyfedorov |
| Upload Date | May 13 2025 08:12 AM |
| Views | 5 |
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% |
227
42.1 IPS |
|
|
Image Classification (HP)
|
100% |
236
43.9 IPS |
|
|
Image Classification (Q)
|
99% |
219
40.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
625
10.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
853
13.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
623
10.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
444
0.52 IPS |
|
|
Pose Estimation (HP)
|
100% |
622
0.73 IPS |
|
|
Pose Estimation (Q)
|
96% |
618
0.72 IPS |
|
|
Object Detection (SP)
|
100% |
239
19.0 IPS |
|
|
Object Detection (HP)
|
100% |
313
24.8 IPS |
|
|
Object Detection (Q)
|
83% |
310
25.1 IPS |
|
|
Face Detection (SP)
|
100% |
1054
12.5 IPS |
|
|
Face Detection (HP)
|
100% |
1242
14.8 IPS |
|
|
Face Detection (Q)
|
97% |
1159
13.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
776
5.98 IPS |
|
|
Depth Estimation (HP)
|
99% |
894
6.89 IPS |
|
|
Depth Estimation (Q)
|
62% |
722
6.84 IPS |
|
|
Style Transfer (SP)
|
100% |
2014
2.59 IPS |
|
|
Style Transfer (HP)
|
100% |
2590
3.33 IPS |
|
|
Style Transfer (Q)
|
98% |
2565
3.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
370
13.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
459
17.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
454
16.8 IPS |
|
|
Text Classification (SP)
|
100% |
206
275.2 IPS |
|
|
Text Classification (HP)
|
100% |
205
273.7 IPS |
|
|
Text Classification (Q)
|
91% |
416
558.7 IPS |
|
|
Machine Translation (SP)
|
100% |
333
5.73 IPS |
|
|
Machine Translation (HP)
|
100% |
330
5.69 IPS |
|
|
Machine Translation (Q)
|
57% |
286
7.00 IPS |
