ASUS NUC16GDKX76 OpenVINO NPU (after driver update) ASUS NUC16GDKX76
Geekbench AI Score
4491
Single Precision Score
37319
Half Precision Score
55932
Quantized Score
Geekbench AI 1.5.0 Pro for Windows AVX2
Result Information
| User | TechFi |
| Upload Date | April 10 2026 11:20 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| 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% |
2801
520.8 IPS |
|
|
Image Classification (HP)
|
100% |
22410
4.17 KIPS |
|
|
Image Classification (Q)
|
100% |
28175
5.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
3529
57.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
14856
240.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
22464
365.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6069
7.08 IPS |
|
|
Pose Estimation (HP)
|
100% |
120523
140.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
274042
321.2 IPS |
|
|
Object Detection (SP)
|
100% |
2689
213.3 IPS |
|
|
Object Detection (HP)
|
100% |
23595
1.87 KIPS |
|
|
Object Detection (Q)
|
87% |
32341
2.59 KIPS |
|
|
Face Detection (SP)
|
100% |
8073
95.9 IPS |
|
|
Face Detection (HP)
|
100% |
57725
685.9 IPS |
|
|
Face Detection (Q)
|
100% |
84321
1.00 KIPS |
|
|
Depth Estimation (SP)
|
100% |
7189
55.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
95533
736.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
177702
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
16828
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
247379
318.0 IPS |
|
|
Style Transfer (Q)
|
98% |
394376
508.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3457
127.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
60748
2.24 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
114104
4.23 KIPS |
|
|
Text Classification (SP)
|
100% |
2555
3.41 KIPS |
|
|
Text Classification (HP)
|
100% |
4415
5.89 KIPS |
|
|
Text Classification (Q)
|
92% |
5120
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
2401
41.4 IPS |
|
|
Machine Translation (HP)
|
100% |
15130
260.6 IPS |
|
|
Machine Translation (Q)
|
100% |
15473
266.5 IPS |
