User | danm1988 |
Upload Date | May 26 2025 11:14 PM |
Views | 3 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | AMD Radeon RX 7900 XTX |
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% |
13750
2.56 KIPS |
|
Image Classification (HP)
|
100% |
14349
2.67 KIPS |
|
Image Classification (Q)
|
99% |
11623
2.17 KIPS |
|
Image Segmentation (SP)
|
100% |
20546
333.1 IPS |
|
Image Segmentation (HP)
|
100% |
18483
299.6 IPS |
|
Image Segmentation (Q)
|
98% |
18737
304.7 IPS |
|
Pose Estimation (SP)
|
100% |
262769
306.6 IPS |
|
Pose Estimation (HP)
|
100% |
456629
532.8 IPS |
|
Pose Estimation (Q)
|
96% |
240694
281.9 IPS |
|
Object Detection (SP)
|
100% |
15726
1.25 KIPS |
|
Object Detection (HP)
|
99% |
17039
1.35 KIPS |
|
Object Detection (Q)
|
87% |
14755
1.19 KIPS |
|
Face Detection (SP)
|
100% |
45172
536.7 IPS |
|
Face Detection (HP)
|
100% |
47345
562.6 IPS |
|
Face Detection (Q)
|
97% |
39383
469.6 IPS |
|
Depth Estimation (SP)
|
100% |
75132
578.8 IPS |
|
Depth Estimation (HP)
|
99% |
99366
765.6 IPS |
|
Depth Estimation (Q)
|
77% |
61193
490.4 IPS |
|
Style Transfer (SP)
|
100% |
431591
554.8 IPS |
|
Style Transfer (HP)
|
100% |
640436
823.3 IPS |
|
Style Transfer (Q)
|
98% |
387694
499.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
50251
1.86 KIPS |
|
Image Super-Resolution (HP)
|
100% |
63040
2.33 KIPS |
|
Image Super-Resolution (Q)
|
99% |
39101
1.45 KIPS |
|
Text Classification (SP)
|
100% |
4431
5.91 KIPS |
|
Text Classification (HP)
|
100% |
4401
5.87 KIPS |
|
Text Classification (Q)
|
97% |
2963
3.97 KIPS |
|
Machine Translation (SP)
|
100% |
4552
78.4 IPS |
|
Machine Translation (HP)
|
100% |
4702
81.0 IPS |
|
Machine Translation (Q)
|
70% |
2741
51.4 IPS |