| User | danm1988 |
| Upload Date | May 29 2025 12:09 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations Insider Preview (64-bit) |
| Model | Gigabyte Technology Co., Ltd. TRX40 AORUS XTREME |
| Motherboard | Gigabyte Technology Co., Ltd. TRX40 AORUS XTREME |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 3990X |
| Topology | 1 Processor, 64 Cores, 128 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13391
2.49 KIPS |
|
|
Image Classification (HP)
|
99% |
17230
3.21 KIPS |
|
|
Image Classification (Q)
|
100% |
11606
2.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16347
265.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19328
313.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
15697
255.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
318296
371.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
529901
618.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
281558
329.9 IPS |
|
|
Object Detection (SP)
|
100% |
17032
1.35 KIPS |
|
|
Object Detection (HP)
|
100% |
20905
1.66 KIPS |
|
|
Object Detection (Q)
|
86% |
14669
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
50006
594.2 IPS |
|
|
Face Detection (HP)
|
100% |
61078
725.7 IPS |
|
|
Face Detection (Q)
|
97% |
42773
510.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
96023
739.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
151756
1.17 KIPS |
|
|
Depth Estimation (Q)
|
77% |
71486
571.7 IPS |
|
|
Style Transfer (SP)
|
100% |
540872
695.3 IPS |
|
|
Style Transfer (HP)
|
100% |
940741
1.21 KIPS |
|
|
Style Transfer (Q)
|
98% |
463407
597.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
51824
1.91 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64488
2.38 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40016
1.48 KIPS |
|
|
Text Classification (SP)
|
100% |
3205
4.28 KIPS |
|
|
Text Classification (HP)
|
99% |
3805
5.08 KIPS |
|
|
Text Classification (Q)
|
97% |
2048
2.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
3979
68.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3919
67.5 IPS |
|
|
Machine Translation (Q)
|
70% |
2195
41.2 IPS |