| User | TechFi |
| Upload Date | March 10 2026 02:45 PM |
| Views | 14 |
| 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 |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4900
911.2 IPS |
|
|
Image Classification (HP)
|
100% |
5969
1.11 KIPS |
|
|
Image Classification (Q)
|
100% |
3604
670.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
11856
192.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19787
320.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
7960
129.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
20500
23.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
68869
80.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
18448
21.6 IPS |
|
|
Object Detection (SP)
|
100% |
5877
466.2 IPS |
|
|
Object Detection (HP)
|
100% |
9579
759.8 IPS |
|
|
Object Detection (Q)
|
87% |
5096
409.0 IPS |
|
|
Face Detection (SP)
|
100% |
14088
167.4 IPS |
|
|
Face Detection (HP)
|
100% |
26921
319.9 IPS |
|
|
Face Detection (Q)
|
97% |
9903
118.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
30815
237.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
54796
422.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
20748
165.8 IPS |
|
|
Style Transfer (SP)
|
100% |
98165
126.2 IPS |
|
|
Style Transfer (HP)
|
100% |
292866
376.5 IPS |
|
|
Style Transfer (Q)
|
98% |
69505
89.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14823
547.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30488
1.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
10388
384.7 IPS |
|
|
Text Classification (SP)
|
100% |
2655
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
3230
4.31 KIPS |
|
|
Text Classification (Q)
|
97% |
1256
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
3185
54.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3938
67.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1503
28.2 IPS |