| Upload Date | June 18 2025 03:07 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 IoT Enterprise LTSC (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D75 |
| Motherboard | Micro-Star International Co., Ltd. MAG B650 TOMAHAWK WIFI (MS-7D75) |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9826
1.83 KIPS |
|
|
Image Classification (HP)
|
99% |
14131
2.64 KIPS |
|
|
Image Classification (Q)
|
100% |
6694
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19616
318.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
29074
471.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
13440
218.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
170904
199.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
367861
429.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
127743
149.7 IPS |
|
|
Object Detection (SP)
|
100% |
13831
1.10 KIPS |
|
|
Object Detection (HP)
|
100% |
19671
1.56 KIPS |
|
|
Object Detection (Q)
|
85% |
8979
722.3 IPS |
|
|
Face Detection (SP)
|
100% |
37778
448.9 IPS |
|
|
Face Detection (HP)
|
100% |
55015
653.7 IPS |
|
|
Face Detection (Q)
|
97% |
23570
281.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
64985
500.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
109368
842.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
37654
301.5 IPS |
|
|
Style Transfer (SP)
|
100% |
277609
356.9 IPS |
|
|
Style Transfer (HP)
|
100% |
663210
852.6 IPS |
|
|
Style Transfer (Q)
|
98% |
191093
246.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40271
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57091
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22365
828.2 IPS |
|
|
Text Classification (SP)
|
100% |
2992
3.99 KIPS |
|
|
Text Classification (HP)
|
99% |
3805
5.08 KIPS |
|
|
Text Classification (Q)
|
97% |
1453
1.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
5204
89.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5095
87.8 IPS |
|
|
Machine Translation (Q)
|
70% |
1636
30.7 IPS |