Neousys Technology Inc. POC-700 Series
Geekbench AI Score
1269
Single Precision Score
362
Half Precision Score
2359
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | frankholamresearch |
| Upload Date | April 17 2026 06:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
872
162.2 IPS |
|
|
Image Classification (HP)
|
100% |
109
20.3 IPS |
|
|
Image Classification (Q)
|
97% |
1899
354.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
603
9.78 IPS |
|
|
Image Segmentation (HP)
|
100% |
165
2.67 IPS |
|
|
Image Segmentation (Q)
|
99% |
1431
23.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1675
1.95 IPS |
|
|
Pose Estimation (HP)
|
100% |
1204
1.40 IPS |
|
|
Pose Estimation (Q)
|
94% |
4439
5.20 IPS |
|
|
Object Detection (SP)
|
100% |
862
68.4 IPS |
|
|
Object Detection (HP)
|
100% |
120
9.48 IPS |
|
|
Object Detection (Q)
|
86% |
1864
149.8 IPS |
|
|
Face Detection (SP)
|
100% |
1334
15.9 IPS |
|
|
Face Detection (HP)
|
100% |
191
2.27 IPS |
|
|
Face Detection (Q)
|
97% |
4784
57.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2599
20.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
487
3.75 IPS |
|
|
Depth Estimation (Q)
|
78% |
4369
34.9 IPS |
|
|
Style Transfer (SP)
|
100% |
4623
5.94 IPS |
|
|
Style Transfer (HP)
|
100% |
3400
4.37 IPS |
|
|
Style Transfer (Q)
|
98% |
6416
8.27 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1015
37.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
618
22.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1535
56.8 IPS |
|
|
Text Classification (SP)
|
100% |
962
1.28 KIPS |
|
|
Text Classification (HP)
|
100% |
323
431.0 IPS |
|
|
Text Classification (Q)
|
97% |
984
1.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
918
15.8 IPS |
|
|
Machine Translation (HP)
|
100% |
240
4.14 IPS |
|
|
Machine Translation (Q)
|
65% |
1174
23.6 IPS |
