| User | unityoc |
| Upload Date | March 26 2026 07:27 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) 130V GPU (8GB) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Dell Inc. Dell Pro 14 Plus PB14250 |
| Motherboard | Dell Inc. 0V009T |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) Ultra 5 236V |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3913
727.7 IPS |
|
|
Image Classification (HP)
|
100% |
3749
697.2 IPS |
|
|
Image Classification (Q)
|
100% |
3319
617.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
6458
104.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13155
213.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
4561
74.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
10855
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
29644
34.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
9826
11.5 IPS |
|
|
Object Detection (SP)
|
100% |
4760
377.6 IPS |
|
|
Object Detection (HP)
|
100% |
8865
703.2 IPS |
|
|
Object Detection (Q)
|
88% |
3714
297.8 IPS |
|
|
Face Detection (SP)
|
100% |
9181
109.1 IPS |
|
|
Face Detection (HP)
|
100% |
17095
203.1 IPS |
|
|
Face Detection (Q)
|
97% |
6203
74.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
17893
137.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
35688
275.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
11406
91.1 IPS |
|
|
Style Transfer (SP)
|
100% |
43599
56.0 IPS |
|
|
Style Transfer (HP)
|
100% |
161382
207.5 IPS |
|
|
Style Transfer (Q)
|
98% |
31700
40.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6951
256.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15761
582.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4648
172.1 IPS |
|
|
Text Classification (SP)
|
100% |
1197
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1667
2.23 KIPS |
|
|
Text Classification (Q)
|
97% |
798
1.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3278
56.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3205
55.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1262
23.7 IPS |