65W TB ON Neousys Technology Inc. SEMIL-2000 Series
Geekbench AI Score
2735
Single Precision Score
2705
Half Precision Score
1796
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | pguasa |
| Upload Date | January 08 2026 06:09 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% |
1865
346.8 IPS |
|
|
Image Classification (HP)
|
100% |
1868
347.4 IPS |
|
|
Image Classification (Q)
|
99% |
1376
256.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3115
50.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3145
51.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1242
20.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3739
4.36 IPS |
|
|
Pose Estimation (HP)
|
100% |
3593
4.19 IPS |
|
|
Pose Estimation (Q)
|
96% |
4176
4.89 IPS |
|
|
Object Detection (SP)
|
100% |
2309
183.1 IPS |
|
|
Object Detection (HP)
|
100% |
2303
182.7 IPS |
|
|
Object Detection (Q)
|
85% |
1562
125.7 IPS |
|
|
Face Detection (SP)
|
100% |
3894
46.3 IPS |
|
|
Face Detection (HP)
|
100% |
3900
46.3 IPS |
|
|
Face Detection (Q)
|
97% |
2880
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3354
25.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
3320
25.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
2354
22.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4112
5.29 IPS |
|
|
Style Transfer (HP)
|
100% |
4131
5.31 IPS |
|
|
Style Transfer (Q)
|
98% |
7143
9.21 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2286
84.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2280
84.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1654
61.3 IPS |
|
|
Text Classification (SP)
|
100% |
1274
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1429
1.91 KIPS |
|
|
Text Classification (Q)
|
92% |
663
891.2 IPS |
|
|
Machine Translation (SP)
|
100% |
2993
51.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2480
42.7 IPS |
|
|
Machine Translation (Q)
|
58% |
592
13.9 IPS |
