Google Pixel 7a
Geekbench AI Score
971
Single Precision Score
962
Half Precision Score
1764
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | January 02 2025 05:16 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| 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% |
525
97.7 IPS |
|
|
Image Classification (HP)
|
100% |
518
96.4 IPS |
|
|
Image Classification (Q)
|
100% |
1509
280.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
629
10.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
627
10.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
1760
28.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
2250
2.63 IPS |
|
|
Pose Estimation (HP)
|
100% |
2169
2.53 IPS |
|
|
Pose Estimation (Q)
|
84% |
3214
3.81 IPS |
|
|
Object Detection (SP)
|
100% |
416
33.0 IPS |
|
|
Object Detection (HP)
|
100% |
409
32.4 IPS |
|
|
Object Detection (Q)
|
83% |
1122
90.6 IPS |
|
|
Face Detection (SP)
|
100% |
1258
15.0 IPS |
|
|
Face Detection (HP)
|
100% |
1296
15.4 IPS |
|
|
Face Detection (Q)
|
95% |
2948
35.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1769
13.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1753
13.5 IPS |
|
|
Depth Estimation (Q)
|
64% |
2828
25.9 IPS |
|
|
Style Transfer (SP)
|
89% |
3470
4.50 IPS |
|
|
Style Transfer (HP)
|
89% |
3456
4.49 IPS |
|
|
Style Transfer (Q)
|
98% |
6579
8.48 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
960
35.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1732
64.2 IPS |
|
|
Text Classification (SP)
|
100% |
468
625.2 IPS |
|
|
Text Classification (HP)
|
100% |
465
621.1 IPS |
|
|
Text Classification (Q)
|
88% |
812
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
693
11.9 IPS |
|
|
Machine Translation (HP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (Q)
|
50% |
397
14.1 IPS |
