| User | danm1988 |
| Upload Date | May 28 2025 10:47 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro A60 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASRock Z690 AQUA |
| Motherboard | ASRock Z690 AQUA |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900T |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 1.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5367
998.2 IPS |
|
|
Image Classification (HP)
|
100% |
8730
1.62 KIPS |
|
|
Image Classification (Q)
|
100% |
9265
1.72 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11236
182.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
18325
297.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19340
313.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
41571
48.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
178275
208.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
244597
286.4 IPS |
|
|
Object Detection (SP)
|
100% |
4892
388.0 IPS |
|
|
Object Detection (HP)
|
100% |
9085
720.7 IPS |
|
|
Object Detection (Q)
|
88% |
11054
885.8 IPS |
|
|
Face Detection (SP)
|
100% |
18177
216.0 IPS |
|
|
Face Detection (HP)
|
100% |
27099
322.0 IPS |
|
|
Face Detection (Q)
|
100% |
29554
351.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
23223
178.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
52544
404.8 IPS |
|
|
Depth Estimation (Q)
|
89% |
54243
421.6 IPS |
|
|
Style Transfer (SP)
|
100% |
107307
137.9 IPS |
|
|
Style Transfer (HP)
|
100% |
236555
304.1 IPS |
|
|
Style Transfer (Q)
|
98% |
316782
408.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14159
522.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27181
1.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26966
998.6 IPS |
|
|
Text Classification (SP)
|
100% |
1956
2.61 KIPS |
|
|
Text Classification (HP)
|
100% |
1782
2.38 KIPS |
|
|
Text Classification (Q)
|
92% |
1336
1.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
1781
30.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2712
46.7 IPS |
|
|
Machine Translation (Q)
|
100% |
2746
47.3 IPS |