| User | Diseil |
| Upload Date | May 30 2025 08:03 AM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7700 XT |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7C56 |
| Motherboard | Micro-Star International Co., Ltd. MPG B550 GAMING PLUS (MS-7C56) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11228
2.09 KIPS |
|
|
Image Classification (HP)
|
100% |
12524
2.33 KIPS |
|
|
Image Classification (Q)
|
100% |
9620
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20066
325.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
16913
274.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
16932
275.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
198038
231.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
351868
410.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
167081
195.7 IPS |
|
|
Object Detection (SP)
|
100% |
12522
993.3 IPS |
|
|
Object Detection (HP)
|
99% |
14979
1.19 KIPS |
|
|
Object Detection (Q)
|
87% |
10890
874.6 IPS |
|
|
Face Detection (SP)
|
100% |
38549
458.0 IPS |
|
|
Face Detection (HP)
|
100% |
46319
550.4 IPS |
|
|
Face Detection (Q)
|
97% |
32621
388.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
63464
489.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
72925
561.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
56154
450.0 IPS |
|
|
Style Transfer (SP)
|
100% |
328607
422.4 IPS |
|
|
Style Transfer (HP)
|
100% |
503133
646.8 IPS |
|
|
Style Transfer (Q)
|
98% |
273946
353.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35376
1.31 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56122
2.07 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28905
1.07 KIPS |
|
|
Text Classification (SP)
|
100% |
3476
4.64 KIPS |
|
|
Text Classification (HP)
|
100% |
3579
4.78 KIPS |
|
|
Text Classification (Q)
|
97% |
2261
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4834
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4910
84.6 IPS |
|
|
Machine Translation (Q)
|
70% |
2660
49.9 IPS |