| Upload Date | November 15 2025 04:31 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. Prestige 16 AI Studio B1VFG |
| Motherboard | Micro-Star International Co., Ltd. MS-15A2 |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2499
464.8 IPS |
|
|
Image Classification (HP)
|
100% |
4704
874.7 IPS |
|
|
Image Classification (Q)
|
100% |
2099
390.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
3158
51.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
7150
115.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
2565
41.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
14704
17.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
19783
23.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
12672
14.9 IPS |
|
|
Object Detection (SP)
|
100% |
2694
213.7 IPS |
|
|
Object Detection (HP)
|
99% |
5142
409.0 IPS |
|
|
Object Detection (Q)
|
86% |
2292
184.3 IPS |
|
|
Face Detection (SP)
|
100% |
4887
58.1 IPS |
|
|
Face Detection (HP)
|
100% |
9314
110.7 IPS |
|
|
Face Detection (Q)
|
97% |
3642
43.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
10694
82.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
21103
163.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
8396
67.4 IPS |
|
|
Style Transfer (SP)
|
100% |
45801
58.9 IPS |
|
|
Style Transfer (HP)
|
100% |
69349
89.1 IPS |
|
|
Style Transfer (Q)
|
98% |
32734
42.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7209
266.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11443
422.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4124
152.7 IPS |
|
|
Text Classification (SP)
|
86% |
743
1.01 KIPS |
|
|
Text Classification (HP)
|
99% |
625
834.6 IPS |
|
|
Text Classification (Q)
|
84% |
533
723.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1965
33.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2106
36.3 IPS |
|
|
Machine Translation (Q)
|
70% |
970
18.2 IPS |