Simply NUC NUC13OXv9
Geekbench AI Score
3684
Single Precision Score
3476
Half Precision Score
8336
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | jose3219 |
| Upload Date | September 16 2024 02:46 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 13th Gen Intel(R) Core(TM) i9-13900H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Simply NUC NUC13OXv9 |
| Motherboard | Simply NUC NUC13OXv9B |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2618
486.9 IPS |
|
|
Image Classification (HP)
|
100% |
2155
400.8 IPS |
|
|
Image Classification (Q)
|
100% |
5973
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1840
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1952
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3111
50.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
4876
5.69 IPS |
|
|
Pose Estimation (HP)
|
100% |
4936
5.76 IPS |
|
|
Pose Estimation (Q)
|
96% |
18038
21.1 IPS |
|
|
Object Detection (SP)
|
100% |
2449
194.2 IPS |
|
|
Object Detection (HP)
|
100% |
2529
200.6 IPS |
|
|
Object Detection (Q)
|
88% |
6235
499.8 IPS |
|
|
Face Detection (SP)
|
100% |
6846
81.3 IPS |
|
|
Face Detection (HP)
|
100% |
4031
47.9 IPS |
|
|
Face Detection (Q)
|
100% |
15070
179.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
3883
29.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3840
29.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
11512
89.5 IPS |
|
|
Style Transfer (SP)
|
100% |
14635
18.8 IPS |
|
|
Style Transfer (HP)
|
100% |
14727
18.9 IPS |
|
|
Style Transfer (Q)
|
98% |
31331
40.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3033
112.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3096
114.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10217
378.4 IPS |
|
|
Text Classification (SP)
|
100% |
1847
2.46 KIPS |
|
|
Text Classification (HP)
|
100% |
1852
2.47 KIPS |
|
|
Text Classification (Q)
|
92% |
3789
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
3681
63.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3756
64.7 IPS |
|
|
Machine Translation (Q)
|
100% |
3685
63.5 IPS |
