User | tangreg99 |
Upload Date | May 21 2025 03:12 AM |
Views | 5 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | Intel(R) Arc(TM) 140V GPU (16GB) |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | LENOVO 83HM |
Motherboard | LENOVO LNVNB161216 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | Intel(R) Core(TM) Ultra 7 258V |
Topology | 1 Processor, 8 Cores |
Identifier | GenuineIntel Family 6 Model 189 Stepping 1 |
Base Frequency | 2.20 GHz |
Cluster 1 | 4 Cores |
Cluster 2 | 4 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
3258
605.9 IPS |
|
Image Classification (HP)
|
100% |
4643
863.4 IPS |
|
Image Classification (Q)
|
100% |
2754
512.1 IPS |
|
Image Segmentation (SP)
|
100% |
6425
104.2 IPS |
|
Image Segmentation (HP)
|
100% |
11172
181.1 IPS |
|
Image Segmentation (Q)
|
98% |
4743
77.1 IPS |
|
Pose Estimation (SP)
|
100% |
22273
26.0 IPS |
|
Pose Estimation (HP)
|
100% |
98525
115.0 IPS |
|
Pose Estimation (Q)
|
96% |
16522
19.4 IPS |
|
Object Detection (SP)
|
100% |
3742
296.8 IPS |
|
Object Detection (HP)
|
100% |
6771
537.1 IPS |
|
Object Detection (Q)
|
89% |
2849
228.0 IPS |
|
Face Detection (SP)
|
100% |
7977
94.8 IPS |
|
Face Detection (HP)
|
100% |
13348
158.6 IPS |
|
Face Detection (Q)
|
97% |
5871
70.0 IPS |
|
Depth Estimation (SP)
|
100% |
18213
140.3 IPS |
|
Depth Estimation (HP)
|
99% |
33160
255.5 IPS |
|
Depth Estimation (Q)
|
75% |
11787
95.1 IPS |
|
Style Transfer (SP)
|
100% |
51660
66.4 IPS |
|
Style Transfer (HP)
|
100% |
170619
219.3 IPS |
|
Style Transfer (Q)
|
98% |
37528
48.4 IPS |
|
Image Super-Resolution (SP)
|
100% |
9601
354.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
17063
630.1 IPS |
|
Image Super-Resolution (Q)
|
99% |
5101
188.9 IPS |
|
Text Classification (SP)
|
100% |
871
1.16 KIPS |
|
Text Classification (HP)
|
100% |
1260
1.68 KIPS |
|
Text Classification (Q)
|
97% |
675
903.7 IPS |
|
Machine Translation (SP)
|
100% |
2708
46.6 IPS |
|
Machine Translation (HP)
|
100% |
2419
41.7 IPS |
|
Machine Translation (Q)
|
60% |
1039
23.2 IPS |