55W TB ON Neousys Technology Inc. SEMIL-2000 Series
Geekbench AI Score
2576
Single Precision Score
2486
Half Precision Score
1688
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | pguasa |
| Upload Date | January 08 2026 05:53 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 | 5.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1721
320.0 IPS |
|
|
Image Classification (HP)
|
100% |
2055
382.2 IPS |
|
|
Image Classification (Q)
|
99% |
1301
242.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3012
48.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3011
48.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
1231
20.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3575
4.17 IPS |
|
|
Pose Estimation (HP)
|
100% |
3425
4.00 IPS |
|
|
Pose Estimation (Q)
|
96% |
3886
4.55 IPS |
|
|
Object Detection (SP)
|
100% |
1864
147.9 IPS |
|
|
Object Detection (HP)
|
100% |
1816
144.0 IPS |
|
|
Object Detection (Q)
|
85% |
1477
118.9 IPS |
|
|
Face Detection (SP)
|
100% |
3673
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
3708
44.1 IPS |
|
|
Face Detection (Q)
|
97% |
2803
33.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3210
24.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
3122
24.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2319
21.7 IPS |
|
|
Style Transfer (SP)
|
100% |
4047
5.20 IPS |
|
|
Style Transfer (HP)
|
100% |
4091
5.26 IPS |
|
|
Style Transfer (Q)
|
98% |
6955
8.97 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2133
78.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1726
63.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1586
58.8 IPS |
|
|
Text Classification (SP)
|
100% |
1264
1.69 KIPS |
|
|
Text Classification (HP)
|
100% |
1259
1.68 KIPS |
|
|
Text Classification (Q)
|
92% |
493
662.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2896
49.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2284
39.3 IPS |
|
|
Machine Translation (Q)
|
58% |
581
13.6 IPS |
