Google Pixel 7a
Geekbench AI Score
295
Single Precision Score
2226
Half Precision Score
6115
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 04 2025 07:25 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| 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 | 7.30 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
195
36.3 IPS |
|
|
Image Classification (HP)
|
100% |
4628
860.7 IPS |
|
|
Image Classification (Q)
|
99% |
7206
1.34 KIPS |
|
|
Image Segmentation (SP)
|
100% |
243
3.94 IPS |
|
|
Image Segmentation (HP)
|
100% |
4495
72.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
7724
125.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
301
0.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
16564
19.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
30005
35.1 IPS |
|
|
Object Detection (SP)
|
100% |
178
14.1 IPS |
|
|
Object Detection (HP)
|
100% |
3811
302.3 IPS |
|
|
Object Detection (Q)
|
87% |
5432
435.7 IPS |
|
|
Face Detection (SP)
|
100% |
434
5.16 IPS |
|
|
Face Detection (HP)
|
100% |
437
5.19 IPS |
|
|
Face Detection (Q)
|
97% |
26082
311.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
375
2.89 IPS |
|
|
Depth Estimation (HP)
|
99% |
17682
136.2 IPS |
|
|
Depth Estimation (Q)
|
64% |
26959
248.2 IPS |
|
|
Style Transfer (SP)
|
100% |
594
0.76 IPS |
|
|
Style Transfer (HP)
|
100% |
597
0.77 IPS |
|
|
Style Transfer (Q)
|
58% |
1996
3.59 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
194
7.18 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4954
182.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
10779
399.4 IPS |
|
|
Text Classification (SP)
|
100% |
259
345.1 IPS |
|
|
Text Classification (HP)
|
100% |
264
352.2 IPS |
|
|
Text Classification (Q)
|
92% |
2052
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
411
7.09 IPS |
|
|
Machine Translation (HP)
|
100% |
378
6.51 IPS |
|
|
Machine Translation (Q)
|
57% |
260
6.36 IPS |
