Google Pixel 5
Geekbench AI Score
529
Single Precision Score
551
Half Precision Score
998
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 19 2025 12:26 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm Snapdragon 765G |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Google Pixel 5 |
| Model ID | Google Pixel 5 |
| Motherboard | redfin |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | Qualcomm Qualcomm |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 15 part 2052 revision 14 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 6 Cores @ 1.80 GHz |
| Cluster 2 | 1 Core @ 2.21 GHz |
| Cluster 3 | 1 Core @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.29 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
180
33.5 IPS |
|
|
Image Classification (HP)
|
100% |
255
47.5 IPS |
|
|
Image Classification (Q)
|
100% |
688
127.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
310
5.02 IPS |
|
|
Image Segmentation (HP)
|
100% |
308
4.99 IPS |
|
|
Image Segmentation (Q)
|
98% |
754
12.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1186
1.38 IPS |
|
|
Pose Estimation (HP)
|
100% |
1176
1.37 IPS |
|
|
Pose Estimation (Q)
|
84% |
1687
2.00 IPS |
|
|
Object Detection (SP)
|
100% |
249
19.8 IPS |
|
|
Object Detection (HP)
|
100% |
250
19.8 IPS |
|
|
Object Detection (Q)
|
83% |
691
55.8 IPS |
|
|
Face Detection (SP)
|
100% |
776
9.22 IPS |
|
|
Face Detection (HP)
|
100% |
779
9.25 IPS |
|
|
Face Detection (Q)
|
95% |
1550
18.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
910
7.01 IPS |
|
|
Depth Estimation (HP)
|
99% |
976
7.52 IPS |
|
|
Depth Estimation (Q)
|
64% |
1557
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1946
2.53 IPS |
|
|
Style Transfer (HP)
|
89% |
1931
2.51 IPS |
|
|
Style Transfer (Q)
|
98% |
3719
4.80 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
531
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
539
19.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
939
34.8 IPS |
|
|
Text Classification (SP)
|
100% |
293
390.6 IPS |
|
|
Text Classification (HP)
|
100% |
291
388.3 IPS |
|
|
Text Classification (Q)
|
88% |
556
749.9 IPS |
|
|
Machine Translation (SP)
|
100% |
493
8.50 IPS |
|
|
Machine Translation (HP)
|
100% |
488
8.40 IPS |
|
|
Machine Translation (Q)
|
50% |
346
12.3 IPS |
