Simply NUC NUC13OXv9
Geekbench AI Score
3011
Single Precision Score
3077
Half Precision Score
1853
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | jose3219 |
| Upload Date | September 16 2024 02:51 PM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Iris(R) Xe Graphics |
| 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% |
1158
215.3 IPS |
|
|
Image Classification (HP)
|
100% |
1355
252.0 IPS |
|
|
Image Classification (Q)
|
99% |
970
180.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
2010
32.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2326
37.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1481
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
13185
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
13285
15.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
6576
7.70 IPS |
|
|
Object Detection (SP)
|
100% |
1386
110.0 IPS |
|
|
Object Detection (HP)
|
98% |
1268
100.9 IPS |
|
|
Object Detection (Q)
|
89% |
1082
86.6 IPS |
|
|
Face Detection (SP)
|
100% |
2796
33.2 IPS |
|
|
Face Detection (HP)
|
100% |
3240
38.5 IPS |
|
|
Face Detection (Q)
|
97% |
1907
22.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6294
48.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
6796
52.5 IPS |
|
|
Depth Estimation (Q)
|
76% |
4275
34.4 IPS |
|
|
Style Transfer (SP)
|
100% |
27870
35.8 IPS |
|
|
Style Transfer (HP)
|
100% |
34484
44.3 IPS |
|
|
Style Transfer (Q)
|
98% |
17586
22.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3675
135.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4836
178.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1598
59.2 IPS |
|
|
Text Classification (SP)
|
100% |
942
1.26 KIPS |
|
|
Text Classification (HP)
|
100% |
486
648.4 IPS |
|
|
Text Classification (Q)
|
97% |
508
680.6 IPS |
|
|
Machine Translation (SP)
|
100% |
849
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
803
13.8 IPS |
|
|
Machine Translation (Q)
|
60% |
402
8.96 IPS |
