35W TB OFF Neousys Technology Inc. SEMIL-2000 Series
Geekbench AI Score
1271
Single Precision Score
1233
Half Precision Score
778
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | pguasa |
| Upload Date | January 07 2026 09:47 PM |
| Views | 5 |
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% |
923
171.7 IPS |
|
|
Image Classification (HP)
|
100% |
918
170.7 IPS |
|
|
Image Classification (Q)
|
99% |
585
109.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
534
8.68 IPS |
|
|
Pose Estimation (SP)
|
100% |
1977
2.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
1961
2.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
1954
2.29 IPS |
|
|
Object Detection (SP)
|
100% |
986
78.2 IPS |
|
|
Object Detection (HP)
|
100% |
971
77.0 IPS |
|
|
Object Detection (Q)
|
85% |
652
52.5 IPS |
|
|
Face Detection (SP)
|
100% |
1759
20.9 IPS |
|
|
Face Detection (HP)
|
100% |
1786
21.2 IPS |
|
|
Face Detection (Q)
|
97% |
1219
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1687
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1702
13.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1010
9.47 IPS |
|
|
Style Transfer (SP)
|
100% |
2608
3.35 IPS |
|
|
Style Transfer (HP)
|
100% |
2583
3.32 IPS |
|
|
Style Transfer (Q)
|
98% |
3407
4.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
984
36.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
735
27.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
655
24.3 IPS |
|
|
Text Classification (SP)
|
100% |
480
641.1 IPS |
|
|
Text Classification (HP)
|
100% |
486
648.1 IPS |
|
|
Text Classification (Q)
|
92% |
284
382.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1283
22.1 IPS |
|
|
Machine Translation (HP)
|
100% |
1266
21.8 IPS |
|
|
Machine Translation (Q)
|
58% |
264
6.20 IPS |
