35W TB ON Neousys Technology Inc. SEMIL-2000 Series
Geekbench AI Score
2180
Single Precision Score
2225
Half Precision Score
1399
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | pguasa |
| Upload Date | January 08 2026 05:30 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 | 5.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1531
284.7 IPS |
|
|
Image Classification (HP)
|
100% |
1549
288.0 IPS |
|
|
Image Classification (Q)
|
99% |
884
164.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
2595
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
2587
41.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
1105
18.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
3378
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
3171
3.70 IPS |
|
|
Pose Estimation (Q)
|
96% |
2715
3.18 IPS |
|
|
Object Detection (SP)
|
100% |
1934
153.4 IPS |
|
|
Object Detection (HP)
|
100% |
1926
152.7 IPS |
|
|
Object Detection (Q)
|
85% |
1224
98.5 IPS |
|
|
Face Detection (SP)
|
100% |
3316
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
3324
39.5 IPS |
|
|
Face Detection (Q)
|
97% |
2391
28.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
2782
21.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2543
19.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
1951
18.3 IPS |
|
|
Style Transfer (SP)
|
100% |
3600
4.63 IPS |
|
|
Style Transfer (HP)
|
100% |
3679
4.73 IPS |
|
|
Style Transfer (Q)
|
98% |
5479
7.06 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1427
52.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1436
53.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1280
47.4 IPS |
|
|
Text Classification (SP)
|
100% |
986
1.32 KIPS |
|
|
Text Classification (HP)
|
100% |
1128
1.51 KIPS |
|
|
Text Classification (Q)
|
92% |
534
717.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2002
34.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2413
41.6 IPS |
|
|
Machine Translation (Q)
|
58% |
510
12.0 IPS |
