User | neo9922 |
Upload Date | May 26 2025 11:01 AM |
Views | 5 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 5090 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Professionnel (64-bit) |
Model | Gigabyte Technology Co., Ltd. B650 GAMING X AX V2 |
Motherboard | Gigabyte Technology Co., Ltd. B650 GAMING X AX V2 |
Power Plan | Utilisation normale |
CPU Information | |
---|---|
Name | AMD Ryzen 9 7950X3D |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 4.20 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 96.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
16821
3.13 KIPS |
|
Image Classification (HP)
|
100% |
21242
3.95 KIPS |
|
Image Classification (Q)
|
100% |
14383
2.67 KIPS |
|
Image Segmentation (SP)
|
100% |
37552
608.7 IPS |
|
Image Segmentation (HP)
|
100% |
47340
767.4 IPS |
|
Image Segmentation (Q)
|
98% |
33764
549.0 IPS |
|
Pose Estimation (SP)
|
100% |
400570
467.4 IPS |
|
Pose Estimation (HP)
|
100% |
927561
1.08 KIPS |
|
Pose Estimation (Q)
|
96% |
320956
376.0 IPS |
|
Object Detection (SP)
|
100% |
24440
1.94 KIPS |
|
Object Detection (HP)
|
100% |
31093
2.47 KIPS |
|
Object Detection (Q)
|
85% |
19975
1.61 KIPS |
|
Face Detection (SP)
|
100% |
74297
882.8 IPS |
|
Face Detection (HP)
|
100% |
99904
1.19 KIPS |
|
Face Detection (Q)
|
97% |
58951
703.0 IPS |
|
Depth Estimation (SP)
|
100% |
106547
820.9 IPS |
|
Depth Estimation (HP)
|
99% |
189955
1.46 KIPS |
|
Depth Estimation (Q)
|
77% |
75848
607.5 IPS |
|
Style Transfer (SP)
|
100% |
599343
770.5 IPS |
|
Style Transfer (HP)
|
100% |
1687636
2.17 KIPS |
|
Style Transfer (Q)
|
98% |
504240
650.2 IPS |
|
Image Super-Resolution (SP)
|
100% |
70924
2.62 KIPS |
|
Image Super-Resolution (HP)
|
100% |
95468
3.53 KIPS |
|
Image Super-Resolution (Q)
|
99% |
52177
1.93 KIPS |
|
Text Classification (SP)
|
100% |
3810
5.08 KIPS |
|
Text Classification (HP)
|
100% |
4560
6.09 KIPS |
|
Text Classification (Q)
|
97% |
2335
3.13 KIPS |
|
Machine Translation (SP)
|
100% |
7518
129.5 IPS |
|
Machine Translation (HP)
|
100% |
7477
128.8 IPS |
|
Machine Translation (Q)
|
70% |
3157
59.2 IPS |