55W TB OFF Neousys Technology Inc. SEMIL-2000 Series
Geekbench AI Score
1242
Single Precision Score
1233
Half Precision Score
752
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | pguasa |
| Upload Date | January 07 2026 11:02 PM |
| Views | 8 |
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% |
749
139.3 IPS |
|
|
Image Classification (HP)
|
100% |
914
170.0 IPS |
|
|
Image Classification (Q)
|
99% |
590
110.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1314
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1313
21.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
540
8.78 IPS |
|
|
Pose Estimation (SP)
|
100% |
1966
2.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
1960
2.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
1937
2.27 IPS |
|
|
Object Detection (SP)
|
100% |
970
77.0 IPS |
|
|
Object Detection (HP)
|
100% |
967
76.7 IPS |
|
|
Object Detection (Q)
|
85% |
657
52.9 IPS |
|
|
Face Detection (SP)
|
100% |
1769
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
1756
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
1224
14.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1681
13.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
1701
13.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
1020
9.57 IPS |
|
|
Style Transfer (SP)
|
100% |
2529
3.25 IPS |
|
|
Style Transfer (HP)
|
100% |
2575
3.31 IPS |
|
|
Style Transfer (Q)
|
98% |
3393
4.38 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
976
36.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
766
28.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
655
24.3 IPS |
|
|
Text Classification (SP)
|
100% |
498
664.2 IPS |
|
|
Text Classification (HP)
|
100% |
473
631.5 IPS |
|
|
Text Classification (Q)
|
92% |
194
260.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1275
22.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1287
22.2 IPS |
|
|
Machine Translation (Q)
|
58% |
265
6.22 IPS |
