| User | ultimaterex |
| Upload Date | March 23 2025 12:02 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D52 |
| Motherboard | Micro-Star International Co., Ltd. MPG X570S CARBON MAX WIFI (MS-7D52) |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14279
2.66 KIPS |
|
|
Image Classification (HP)
|
100% |
15626
2.91 KIPS |
|
|
Image Classification (Q)
|
99% |
12786
2.38 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25410
411.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23566
382.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
22779
370.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
282874
330.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
496771
579.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
251894
295.1 IPS |
|
|
Object Detection (SP)
|
100% |
18209
1.44 KIPS |
|
|
Object Detection (HP)
|
99% |
19689
1.56 KIPS |
|
|
Object Detection (Q)
|
87% |
16153
1.30 KIPS |
|
|
Face Detection (SP)
|
100% |
48408
575.2 IPS |
|
|
Face Detection (HP)
|
100% |
55012
653.7 IPS |
|
|
Face Detection (Q)
|
97% |
43216
515.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
80657
621.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
100537
774.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
65845
527.7 IPS |
|
|
Style Transfer (SP)
|
100% |
457224
587.8 IPS |
|
|
Style Transfer (HP)
|
100% |
690796
888.0 IPS |
|
|
Style Transfer (Q)
|
98% |
401026
517.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48508
1.79 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63088
2.33 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39307
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
3564
4.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3735
4.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2480
3.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5433
93.6 IPS |
|
|
Machine Translation (HP)
|
100% |
5528
95.2 IPS |
|
|
Machine Translation (Q)
|
70% |
3154
59.2 IPS |