| User | Waldek |
| Upload Date | November 05 2024 09:33 PM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 960 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570S AERO G |
| Motherboard | Gigabyte Technology Co., Ltd. X570S AERO G |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1420
264.1 IPS |
|
|
Image Classification (HP)
|
100% |
1454
270.5 IPS |
|
|
Image Classification (Q)
|
100% |
1108
206.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1897
30.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1997
32.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
1539
25.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
13287
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
12465
14.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
11284
13.2 IPS |
|
|
Object Detection (SP)
|
100% |
1730
137.2 IPS |
|
|
Object Detection (HP)
|
100% |
1782
141.3 IPS |
|
|
Object Detection (Q)
|
89% |
1276
102.2 IPS |
|
|
Face Detection (SP)
|
100% |
2918
34.7 IPS |
|
|
Face Detection (HP)
|
100% |
3140
37.3 IPS |
|
|
Face Detection (Q)
|
97% |
2201
26.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
6676
51.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
6654
51.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
5026
40.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22349
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
22091
28.4 IPS |
|
|
Style Transfer (Q)
|
98% |
18504
23.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5322
196.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5253
194.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3500
129.6 IPS |
|
|
Text Classification (SP)
|
100% |
1384
1.85 KIPS |
|
|
Text Classification (HP)
|
100% |
1401
1.87 KIPS |
|
|
Text Classification (Q)
|
97% |
714
956.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1543
26.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1532
26.5 IPS |
|
|
Machine Translation (Q)
|
60% |
651
14.5 IPS |