Neousys Technology Inc. POC-700 Series
Geekbench AI Score
912
Single Precision Score
893
Half Precision Score
647
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | frankholamresearch |
| Upload Date | April 17 2026 06:27 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i3-N305 |
| System Information | |
|---|---|
| Operating System | Ubuntu 22.04.5 LTS |
| Model | Neousys Technology Inc. POC-700 Series |
| Motherboard | Neousys Technology Inc. POC-700 |
| CPU Information | |
|---|---|
| Name | Intel Core i3-N305 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.50 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
745
138.5 IPS |
|
|
Image Classification (HP)
|
100% |
751
139.6 IPS |
|
|
Image Classification (Q)
|
99% |
462
86.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
865
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
843
13.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
534
8.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
927
1.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
886
1.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
961
1.13 IPS |
|
|
Object Detection (SP)
|
100% |
679
53.9 IPS |
|
|
Object Detection (HP)
|
100% |
687
54.5 IPS |
|
|
Object Detection (Q)
|
85% |
465
37.5 IPS |
|
|
Face Detection (SP)
|
100% |
1185
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
1142
13.6 IPS |
|
|
Face Detection (Q)
|
97% |
1107
13.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1011
7.79 IPS |
|
|
Depth Estimation (HP)
|
99% |
977
7.53 IPS |
|
|
Depth Estimation (Q)
|
63% |
805
7.55 IPS |
|
|
Style Transfer (SP)
|
100% |
1450
1.86 IPS |
|
|
Style Transfer (HP)
|
100% |
1461
1.88 IPS |
|
|
Style Transfer (Q)
|
98% |
2117
2.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
616
22.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
583
21.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
585
21.7 IPS |
|
|
Text Classification (SP)
|
100% |
860
1.15 KIPS |
|
|
Text Classification (HP)
|
100% |
845
1.13 KIPS |
|
|
Text Classification (Q)
|
92% |
343
461.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1067
18.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1043
18.0 IPS |
|
|
Machine Translation (Q)
|
58% |
310
7.28 IPS |
