| User | Rich585 |
| Upload Date | November 11 2024 08:41 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2060 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550M AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. B550M AORUS PRO |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5309
987.3 IPS |
|
|
Image Classification (HP)
|
100% |
8844
1.64 KIPS |
|
|
Image Classification (Q)
|
100% |
4009
745.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
9151
148.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
11784
191.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
7448
121.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
60605
70.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
203606
237.6 IPS |
|
|
Pose Estimation (Q)
|
97% |
51964
60.8 IPS |
|
|
Object Detection (SP)
|
100% |
6345
503.3 IPS |
|
|
Object Detection (HP)
|
100% |
10572
838.6 IPS |
|
|
Object Detection (Q)
|
89% |
4552
364.3 IPS |
|
|
Face Detection (SP)
|
100% |
15222
180.9 IPS |
|
|
Face Detection (HP)
|
100% |
22743
270.2 IPS |
|
|
Face Detection (Q)
|
97% |
11780
140.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
32965
254.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
58853
453.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
22248
179.0 IPS |
|
|
Style Transfer (SP)
|
100% |
109279
140.5 IPS |
|
|
Style Transfer (HP)
|
100% |
259796
334.0 IPS |
|
|
Style Transfer (Q)
|
98% |
92021
118.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19780
730.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
30860
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
12015
444.9 IPS |
|
|
Text Classification (SP)
|
100% |
1949
2.60 KIPS |
|
|
Text Classification (HP)
|
99% |
2809
3.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1166
1.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3166
54.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3301
56.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1185
26.4 IPS |