| User | teknoseyir |
| Upload Date | March 17 2026 03:28 PM |
| Views | 7 |
| 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 21QA0046TX |
| Motherboard | LENOVO 21QA0046TX |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel Core 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% |
4294
798.6 IPS |
|
|
Image Classification (HP)
|
100% |
4730
879.6 IPS |
|
|
Image Classification (Q)
|
100% |
3234
601.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
7128
115.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
14579
236.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
5052
82.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11645
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
29840
34.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
10749
12.6 IPS |
|
|
Object Detection (SP)
|
100% |
4546
360.6 IPS |
|
|
Object Detection (HP)
|
100% |
9813
778.4 IPS |
|
|
Object Detection (Q)
|
88% |
4299
344.8 IPS |
|
|
Face Detection (SP)
|
100% |
10004
118.9 IPS |
|
|
Face Detection (HP)
|
100% |
18420
218.9 IPS |
|
|
Face Detection (Q)
|
97% |
6819
81.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
18791
144.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
36832
283.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
12931
103.3 IPS |
|
|
Style Transfer (SP)
|
100% |
47158
60.6 IPS |
|
|
Style Transfer (HP)
|
100% |
161536
207.7 IPS |
|
|
Style Transfer (Q)
|
98% |
36723
47.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8496
313.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14299
528.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5374
199.0 IPS |
|
|
Text Classification (SP)
|
100% |
1304
1.74 KIPS |
|
|
Text Classification (HP)
|
100% |
1524
2.03 KIPS |
|
|
Text Classification (Q)
|
97% |
775
1.04 KIPS |
|
|
Machine Translation (SP)
|
100% |
3338
57.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3498
60.2 IPS |
|
|
Machine Translation (Q)
|
70% |
1352
25.4 IPS |