NUC Win11 ONNX DirectML Default string Default string
Geekbench AI Score
856
Single Precision Score
910
Half Precision Score
606
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | kyfgsdkyhsdmhgfvd |
| Upload Date | October 21 2025 03:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) N150 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
387
72.0 IPS |
|
|
Image Classification (HP)
|
100% |
406
75.6 IPS |
|
|
Image Classification (Q)
|
100% |
333
61.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
531
8.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
613
9.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
412
6.71 IPS |
|
|
Pose Estimation (SP)
|
100% |
2402
2.80 IPS |
|
|
Pose Estimation (HP)
|
100% |
2853
3.33 IPS |
|
|
Pose Estimation (Q)
|
96% |
1795
2.10 IPS |
|
|
Object Detection (SP)
|
100% |
432
34.3 IPS |
|
|
Object Detection (HP)
|
98% |
387
30.8 IPS |
|
|
Object Detection (Q)
|
86% |
368
29.6 IPS |
|
|
Face Detection (SP)
|
100% |
796
9.46 IPS |
|
|
Face Detection (HP)
|
100% |
944
11.2 IPS |
|
|
Face Detection (Q)
|
97% |
640
7.63 IPS |
|
|
Depth Estimation (SP)
|
100% |
1611
12.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
1791
13.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
1227
9.83 IPS |
|
|
Style Transfer (SP)
|
100% |
5182
6.66 IPS |
|
|
Style Transfer (HP)
|
100% |
7344
9.44 IPS |
|
|
Style Transfer (Q)
|
98% |
3908
5.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
904
33.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1292
47.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
501
18.5 IPS |
|
|
Text Classification (SP)
|
100% |
425
567.6 IPS |
|
|
Text Classification (HP)
|
100% |
232
309.4 IPS |
|
|
Text Classification (Q)
|
97% |
206
275.6 IPS |
|
|
Machine Translation (SP)
|
100% |
392
6.76 IPS |
|
|
Machine Translation (HP)
|
100% |
383
6.60 IPS |
|
|
Machine Translation (Q)
|
70% |
234
4.39 IPS |
