| User | boriga7 |
| Upload Date | June 24 2025 01:06 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE AX V2 |
| Power Plan | 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9453
1.76 KIPS |
|
|
Image Classification (HP)
|
99% |
13328
2.49 KIPS |
|
|
Image Classification (Q)
|
100% |
6423
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17341
281.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
25084
406.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
12368
201.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
139185
162.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
399456
466.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
109118
127.8 IPS |
|
|
Object Detection (SP)
|
100% |
12347
979.4 IPS |
|
|
Object Detection (HP)
|
100% |
17756
1.41 KIPS |
|
|
Object Detection (Q)
|
85% |
8320
669.3 IPS |
|
|
Face Detection (SP)
|
100% |
32382
384.8 IPS |
|
|
Face Detection (HP)
|
100% |
47201
560.8 IPS |
|
|
Face Detection (Q)
|
97% |
22111
263.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
62166
478.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
102828
792.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
36805
294.9 IPS |
|
|
Style Transfer (SP)
|
100% |
252857
325.1 IPS |
|
|
Style Transfer (HP)
|
100% |
592265
761.4 IPS |
|
|
Style Transfer (Q)
|
98% |
184004
237.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
36711
1.36 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
46155
1.70 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20074
743.3 IPS |
|
|
Text Classification (SP)
|
100% |
2744
3.66 KIPS |
|
|
Text Classification (HP)
|
99% |
3386
4.52 KIPS |
|
|
Text Classification (Q)
|
97% |
1382
1.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4838
83.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4822
83.1 IPS |
|
|
Machine Translation (Q)
|
70% |
1611
30.2 IPS |