Google Pixel 5
Geekbench AI Score
556
Single Precision Score
558
Half Precision Score
999
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | December 28 2024 02:59 AM |
| Views | 1 |
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% |
260
48.4 IPS |
|
|
Image Classification (HP)
|
100% |
260
48.4 IPS |
|
|
Image Classification (Q)
|
100% |
685
127.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
305
4.95 IPS |
|
|
Image Segmentation (HP)
|
100% |
307
4.98 IPS |
|
|
Image Segmentation (Q)
|
98% |
762
12.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
1200
1.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
1196
1.40 IPS |
|
|
Pose Estimation (Q)
|
84% |
1671
1.98 IPS |
|
|
Object Detection (SP)
|
100% |
248
19.7 IPS |
|
|
Object Detection (HP)
|
100% |
254
20.2 IPS |
|
|
Object Detection (Q)
|
83% |
696
56.2 IPS |
|
|
Face Detection (SP)
|
100% |
790
9.39 IPS |
|
|
Face Detection (HP)
|
100% |
790
9.39 IPS |
|
|
Face Detection (Q)
|
95% |
1556
18.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
998
7.69 IPS |
|
|
Depth Estimation (HP)
|
99% |
1022
7.88 IPS |
|
|
Depth Estimation (Q)
|
64% |
1560
14.3 IPS |
|
|
Style Transfer (SP)
|
89% |
1945
2.53 IPS |
|
|
Style Transfer (HP)
|
89% |
1927
2.50 IPS |
|
|
Style Transfer (Q)
|
98% |
3773
4.86 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
570
21.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
570
21.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
944
35.0 IPS |
|
|
Text Classification (SP)
|
100% |
287
383.2 IPS |
|
|
Text Classification (HP)
|
100% |
285
380.9 IPS |
|
|
Text Classification (Q)
|
88% |
550
741.9 IPS |
|
|
Machine Translation (SP)
|
100% |
485
8.36 IPS |
|
|
Machine Translation (HP)
|
100% |
478
8.24 IPS |
|
|
Machine Translation (Q)
|
50% |
346
12.3 IPS |
