Google Pixel 5
Geekbench AI Score
172
Single Precision Score
271
Half Precision Score
272
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | April 19 2025 12:53 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | GPU |
| 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% |
99
18.4 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.4 IPS |
|
|
Image Classification (Q)
|
97% |
167
31.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
139
2.25 IPS |
|
|
Image Segmentation (HP)
|
100% |
294
4.77 IPS |
|
|
Image Segmentation (Q)
|
98% |
294
4.77 IPS |
|
|
Pose Estimation (SP)
|
100% |
177
0.21 IPS |
|
|
Pose Estimation (HP)
|
100% |
235
0.27 IPS |
|
|
Pose Estimation (Q)
|
95% |
234
0.27 IPS |
|
|
Object Detection (SP)
|
100% |
88
6.99 IPS |
|
|
Object Detection (HP)
|
100% |
121
9.57 IPS |
|
|
Object Detection (Q)
|
89% |
129
10.3 IPS |
|
|
Face Detection (SP)
|
100% |
245
2.91 IPS |
|
|
Face Detection (HP)
|
100% |
551
6.55 IPS |
|
|
Face Detection (Q)
|
97% |
580
6.91 IPS |
|
|
Depth Estimation (SP)
|
100% |
227
1.75 IPS |
|
|
Depth Estimation (HP)
|
99% |
421
3.26 IPS |
|
|
Depth Estimation (Q)
|
62% |
344
3.26 IPS |
|
|
Style Transfer (SP)
|
100% |
411
0.53 IPS |
|
|
Style Transfer (HP)
|
100% |
997
1.28 IPS |
|
|
Style Transfer (Q)
|
98% |
994
1.28 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
105
3.87 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
165
6.09 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
149
5.52 IPS |
|
|
Text Classification (SP)
|
100% |
160
214.0 IPS |
|
|
Text Classification (HP)
|
100% |
163
217.3 IPS |
|
|
Text Classification (Q)
|
91% |
267
358.8 IPS |
|
|
Machine Translation (SP)
|
100% |
276
4.76 IPS |
|
|
Machine Translation (HP)
|
100% |
278
4.79 IPS |
|
|
Machine Translation (Q)
|
57% |
196
4.79 IPS |
