ASUS NUC16GDKX76 OpenVINO GPU after driver update ASUS NUC16GDKX76
Geekbench AI Score
19309
Single Precision Score
44615
Half Precision Score
53393
Quantized Score
Geekbench AI 1.5.0 Pro for Windows AVX2
Result Information
| User | TechFi |
| Upload Date | April 10 2026 11:13 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B390 GPU (iGPU) |
| 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% |
10338
1.92 KIPS |
|
|
Image Classification (HP)
|
100% |
20034
3.73 KIPS |
|
|
Image Classification (Q)
|
100% |
28379
5.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20185
327.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
50696
821.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
54727
887.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
46094
53.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
232318
271.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
495444
580.0 IPS |
|
|
Object Detection (SP)
|
100% |
11186
887.2 IPS |
|
|
Object Detection (HP)
|
100% |
24315
1.93 KIPS |
|
|
Object Detection (Q)
|
88% |
28423
2.28 KIPS |
|
|
Face Detection (SP)
|
100% |
21662
257.4 IPS |
|
|
Face Detection (HP)
|
100% |
52384
622.4 IPS |
|
|
Face Detection (Q)
|
100% |
69594
826.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
40450
311.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
85974
662.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
110058
855.9 IPS |
|
|
Style Transfer (SP)
|
100% |
110945
142.6 IPS |
|
|
Style Transfer (HP)
|
100% |
333596
428.8 IPS |
|
|
Style Transfer (Q)
|
98% |
355885
458.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17603
650.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
57495
2.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
74034
2.74 KIPS |
|
|
Text Classification (SP)
|
100% |
6584
8.79 KIPS |
|
|
Text Classification (HP)
|
100% |
6446
8.60 KIPS |
|
|
Text Classification (Q)
|
92% |
4283
5.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
5945
102.4 IPS |
|
|
Machine Translation (HP)
|
98% |
9783
169.1 IPS |
|
|
Machine Translation (Q)
|
100% |
9962
171.6 IPS |
