| User | runnerxa |
| Upload Date | March 30 2026 11:25 PM |
| Views | 5 |
| Notes | RTX 2080 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7A33 |
| Motherboard | Micro-Star International Co., Ltd. X370 SLI PLUS (MS-7A33) |
| 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 0 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6241
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
9519
1.77 KIPS |
|
|
Image Classification (Q)
|
99% |
4698
876.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
9514
154.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
12678
205.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
7744
125.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
82567
96.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
228630
266.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
67021
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
7534
597.6 IPS |
|
|
Object Detection (HP)
|
100% |
11540
915.3 IPS |
|
|
Object Detection (Q)
|
84% |
5849
471.7 IPS |
|
|
Face Detection (SP)
|
100% |
17370
206.4 IPS |
|
|
Face Detection (HP)
|
100% |
26642
316.6 IPS |
|
|
Face Detection (Q)
|
97% |
13881
165.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
38947
300.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
68134
524.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
26333
210.9 IPS |
|
|
Style Transfer (SP)
|
100% |
145376
186.9 IPS |
|
|
Style Transfer (HP)
|
100% |
318776
409.8 IPS |
|
|
Style Transfer (Q)
|
98% |
115648
149.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24711
912.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36380
1.34 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
14693
544.1 IPS |
|
|
Text Classification (SP)
|
100% |
1964
2.62 KIPS |
|
|
Text Classification (HP)
|
99% |
2807
3.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1163
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3131
53.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3157
54.4 IPS |
|
|
Machine Translation (Q)
|
70% |
949
17.8 IPS |