Max Boost TB ON Neousys Technology Inc. SEMIL-2000 Series
Geekbench AI Score
2753
Single Precision Score
2765
Half Precision Score
1762
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | pguasa |
| Upload Date | January 08 2026 06:30 PM |
| Views | 6 |
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% |
2391
444.6 IPS |
|
|
Image Classification (HP)
|
100% |
2408
447.9 IPS |
|
|
Image Classification (Q)
|
99% |
1258
234.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3320
53.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3313
53.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1226
19.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3824
4.46 IPS |
|
|
Pose Estimation (HP)
|
100% |
3229
3.77 IPS |
|
|
Pose Estimation (Q)
|
96% |
3995
4.68 IPS |
|
|
Object Detection (SP)
|
100% |
2222
176.3 IPS |
|
|
Object Detection (HP)
|
100% |
2567
203.6 IPS |
|
|
Object Detection (Q)
|
85% |
1647
132.6 IPS |
|
|
Face Detection (SP)
|
100% |
3289
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
4005
47.6 IPS |
|
|
Face Detection (Q)
|
97% |
2866
34.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
3112
24.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
3050
23.5 IPS |
|
|
Depth Estimation (Q)
|
63% |
2360
22.1 IPS |
|
|
Style Transfer (SP)
|
100% |
4123
5.30 IPS |
|
|
Style Transfer (HP)
|
100% |
4093
5.26 IPS |
|
|
Style Transfer (Q)
|
98% |
7037
9.07 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2400
88.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1956
72.2 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1803
66.8 IPS |
|
|
Text Classification (SP)
|
100% |
1344
1.79 KIPS |
|
|
Text Classification (HP)
|
100% |
1342
1.79 KIPS |
|
|
Text Classification (Q)
|
92% |
567
761.4 IPS |
|
|
Machine Translation (SP)
|
100% |
2727
47.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3020
52.0 IPS |
|
|
Machine Translation (Q)
|
58% |
586
13.8 IPS |
