| User | danm1988 |
| Upload Date | July 01 2025 11:28 PM |
| Views | 14 |
| 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% |
5387
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
8799
1.64 KIPS |
|
|
Image Classification (Q)
|
100% |
9149
1.70 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11250
182.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18448
299.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
19424
314.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
41306
48.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
178654
208.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
245796
287.8 IPS |
|
|
Object Detection (SP)
|
100% |
4914
389.8 IPS |
|
|
Object Detection (HP)
|
100% |
10461
829.7 IPS |
|
|
Object Detection (Q)
|
88% |
11071
887.2 IPS |
|
|
Face Detection (SP)
|
100% |
18485
219.6 IPS |
|
|
Face Detection (HP)
|
100% |
27449
326.1 IPS |
|
|
Face Detection (Q)
|
100% |
29577
351.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
23321
179.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
54976
423.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
54146
420.9 IPS |
|
|
Style Transfer (SP)
|
100% |
107920
138.7 IPS |
|
|
Style Transfer (HP)
|
100% |
235770
303.1 IPS |
|
|
Style Transfer (Q)
|
98% |
316640
408.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14133
521.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26188
967.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
25640
949.5 IPS |
|
|
Text Classification (SP)
|
100% |
1974
2.63 KIPS |
|
|
Text Classification (HP)
|
100% |
1752
2.34 KIPS |
|
|
Text Classification (Q)
|
92% |
1353
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
1809
31.2 IPS |
|
|
Machine Translation (HP)
|
100% |
2761
47.6 IPS |
|
|
Machine Translation (Q)
|
100% |
2688
46.3 IPS |