ASUS NUC16GDKX76 ONNX DirectML after driver update ASUS NUC16GDKX76
Geekbench AI Score
13075
Single Precision Score
23428
Half Precision Score
8728
Quantized Score
Geekbench AI 1.5.0 Pro for Windows AVX2
Result Information
| User | TechFi |
| Upload Date | April 10 2026 11:05 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B390 GPU |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS NUC16GDKX76 |
| Motherboard | ASUSTeK COMPUTER INC. NUC16GDBX76 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra X7 358H |
| Topology | 1 Processor, 16 Cores |
| Identifier | GenuineIntel Family 6 Model 204 Stepping 2 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6105
1.14 KIPS |
|
|
Image Classification (HP)
|
100% |
8782
1.63 KIPS |
|
|
Image Classification (Q)
|
100% |
5298
985.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
12962
210.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21742
352.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
9334
151.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
20490
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
63010
73.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
18413
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
8026
636.6 IPS |
|
|
Object Detection (HP)
|
100% |
12969
1.03 KIPS |
|
|
Object Detection (Q)
|
87% |
6337
508.6 IPS |
|
|
Face Detection (SP)
|
100% |
16179
192.2 IPS |
|
|
Face Detection (HP)
|
100% |
29597
351.7 IPS |
|
|
Face Detection (Q)
|
97% |
11457
136.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
35288
271.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
66023
508.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
23241
185.8 IPS |
|
|
Style Transfer (SP)
|
100% |
101681
130.7 IPS |
|
|
Style Transfer (HP)
|
100% |
325813
418.8 IPS |
|
|
Style Transfer (Q)
|
98% |
72172
93.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16999
627.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30518
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10472
387.8 IPS |
|
|
Text Classification (SP)
|
100% |
2876
3.84 KIPS |
|
|
Text Classification (HP)
|
100% |
3560
4.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1166
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3956
68.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4616
79.5 IPS |
|
|
Machine Translation (Q)
|
70% |
1895
35.5 IPS |
