| User | rschramm1 |
| Upload Date | May 12 2025 08:18 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Micro-Star International Co., Ltd. Creator 16 AI Studio A1VHG |
| Motherboard | Micro-Star International Co., Ltd. MS-15F3 |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5044
938.0 IPS |
|
|
Image Classification (HP)
|
100% |
7346
1.37 KIPS |
|
|
Image Classification (Q)
|
100% |
9021
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4254
69.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11089
179.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
16099
261.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
20451
23.9 IPS |
|
|
Pose Estimation (HP)
|
99% |
19157
22.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
61793
72.3 IPS |
|
|
Object Detection (SP)
|
100% |
4789
379.9 IPS |
|
|
Object Detection (HP)
|
100% |
7977
632.7 IPS |
|
|
Object Detection (Q)
|
88% |
11781
944.1 IPS |
|
|
Face Detection (SP)
|
100% |
6565
78.0 IPS |
|
|
Face Detection (HP)
|
100% |
15974
189.8 IPS |
|
|
Face Detection (Q)
|
100% |
24342
289.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
15567
119.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
28072
217.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
33943
263.8 IPS |
|
|
Style Transfer (SP)
|
100% |
47355
60.9 IPS |
|
|
Style Transfer (HP)
|
100% |
62193
80.0 IPS |
|
|
Style Transfer (Q)
|
98% |
152245
196.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7753
286.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14118
521.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
19824
734.2 IPS |
|
|
Text Classification (SP)
|
71% |
1485
2.15 KIPS |
|
|
Text Classification (HP)
|
71% |
2185
3.16 KIPS |
|
|
Text Classification (Q)
|
92% |
2189
2.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
2347
40.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2459
42.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2810
48.4 IPS |