| User | TechFi |
| Upload Date | March 10 2026 02:41 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra X7 358H |
| 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% |
3555
661.0 IPS |
|
|
Image Classification (HP)
|
100% |
698
129.9 IPS |
|
|
Image Classification (Q)
|
99% |
7408
1.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2387
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1201
19.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
11271
183.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
8831
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
6157
7.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
30578
35.9 IPS |
|
|
Object Detection (SP)
|
100% |
3361
266.6 IPS |
|
|
Object Detection (HP)
|
100% |
717
56.8 IPS |
|
|
Object Detection (Q)
|
86% |
8156
655.5 IPS |
|
|
Face Detection (SP)
|
100% |
10073
119.7 IPS |
|
|
Face Detection (HP)
|
100% |
1566
18.6 IPS |
|
|
Face Detection (Q)
|
97% |
10638
126.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
10702
82.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
2406
18.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
16714
133.4 IPS |
|
|
Style Transfer (SP)
|
100% |
20295
26.1 IPS |
|
|
Style Transfer (HP)
|
100% |
16762
21.5 IPS |
|
|
Style Transfer (Q)
|
98% |
27972
36.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2804
103.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2705
99.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5707
211.3 IPS |
|
|
Text Classification (SP)
|
100% |
1353
1.81 KIPS |
|
|
Text Classification (HP)
|
100% |
680
908.2 IPS |
|
|
Text Classification (Q)
|
97% |
1146
1.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2570
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1274
22.0 IPS |
|
|
Machine Translation (Q)
|
65% |
3742
75.2 IPS |