User | nithinmohantk |
Upload Date | February 01 2025 05:57 PM |
Views | 4 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4070 |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Micro-Star International Co., Ltd. MS-7C37 |
Motherboard | Micro-Star International Co., Ltd. X570-A PRO (MS-7C37) |
Power Plan | AMD Ryzen Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 9 5950X |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
Base Frequency | 3.40 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 128.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
9736
1.81 KIPS |
|
Image Classification (HP)
|
99% |
14022
2.62 KIPS |
|
Image Classification (Q)
|
100% |
8695
1.62 KIPS |
|
Image Segmentation (SP)
|
100% |
16477
267.1 IPS |
|
Image Segmentation (HP)
|
100% |
20796
337.1 IPS |
|
Image Segmentation (Q)
|
98% |
14998
243.9 IPS |
|
Pose Estimation (SP)
|
100% |
149700
174.7 IPS |
|
Pose Estimation (HP)
|
100% |
335204
391.1 IPS |
|
Pose Estimation (Q)
|
96% |
133203
156.1 IPS |
|
Object Detection (SP)
|
100% |
12132
962.3 IPS |
|
Object Detection (HP)
|
100% |
17711
1.40 KIPS |
|
Object Detection (Q)
|
85% |
10565
850.5 IPS |
|
Face Detection (SP)
|
100% |
31943
379.6 IPS |
|
Face Detection (HP)
|
100% |
43822
520.7 IPS |
|
Face Detection (Q)
|
97% |
27894
332.6 IPS |
|
Depth Estimation (SP)
|
100% |
63783
491.4 IPS |
|
Depth Estimation (HP)
|
99% |
103663
798.7 IPS |
|
Depth Estimation (Q)
|
78% |
50382
402.3 IPS |
|
Style Transfer (SP)
|
100% |
256510
329.7 IPS |
|
Style Transfer (HP)
|
100% |
550721
708.0 IPS |
|
Style Transfer (Q)
|
98% |
227928
293.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
42739
1.58 KIPS |
|
Image Super-Resolution (HP)
|
100% |
52121
1.92 KIPS |
|
Image Super-Resolution (Q)
|
99% |
31855
1.18 KIPS |
|
Text Classification (SP)
|
100% |
3066
4.09 KIPS |
|
Text Classification (HP)
|
99% |
3499
4.67 KIPS |
|
Text Classification (Q)
|
97% |
1989
2.66 KIPS |
|
Machine Translation (SP)
|
100% |
4585
79.0 IPS |
|
Machine Translation (HP)
|
100% |
4569
78.7 IPS |
|
Machine Translation (Q)
|
70% |
2179
40.9 IPS |