Baseline Neousys Technology Inc. SEMIL-2000 Series
Geekbench AI Score
1255
Single Precision Score
1231
Half Precision Score
799
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | pguasa |
| Upload Date | January 07 2026 09:20 PM |
| Views | 10 |
| Notes | (30W Turbo Boost OFF) |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Core i9-13900E |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Neousys Technology Inc. SEMIL-2000 Series |
| Motherboard | Neousys Technology Inc. SML-2000 |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900E |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
746
138.8 IPS |
|
|
Image Classification (HP)
|
100% |
751
139.6 IPS |
|
|
Image Classification (Q)
|
99% |
590
110.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
535
8.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
1960
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1966
2.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
1942
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
981
77.8 IPS |
|
|
Object Detection (HP)
|
100% |
982
77.9 IPS |
|
|
Object Detection (Q)
|
85% |
659
53.1 IPS |
|
|
Face Detection (SP)
|
100% |
1744
20.7 IPS |
|
|
Face Detection (HP)
|
100% |
1761
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
1221
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1689
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1687
13.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1016
9.52 IPS |
|
|
Style Transfer (SP)
|
100% |
2513
3.23 IPS |
|
|
Style Transfer (HP)
|
100% |
2570
3.30 IPS |
|
|
Style Transfer (Q)
|
98% |
3372
4.35 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
991
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
764
28.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
828
30.7 IPS |
|
|
Text Classification (SP)
|
100% |
556
742.1 IPS |
|
|
Text Classification (HP)
|
100% |
562
749.5 IPS |
|
|
Text Classification (Q)
|
92% |
287
384.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1265
21.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1282
22.1 IPS |
|
|
Machine Translation (Q)
|
58% |
265
6.23 IPS |
