| User | domdtxdissar |
| Upload Date | September 11 2024 08:29 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000001277-60_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X670E GENE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Eng Sample: 100-000001277-60_Y |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2694
501.0 IPS |
|
|
Image Classification (HP)
|
100% |
807
150.1 IPS |
|
|
Image Classification (Q)
|
99% |
6249
1.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2802
45.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1257
20.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
4817
78.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
31832
37.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
19141
22.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
83855
98.3 IPS |
|
|
Object Detection (SP)
|
100% |
3468
275.1 IPS |
|
|
Object Detection (HP)
|
100% |
979
77.7 IPS |
|
|
Object Detection (Q)
|
88% |
4221
338.4 IPS |
|
|
Face Detection (SP)
|
100% |
6354
75.5 IPS |
|
|
Face Detection (HP)
|
100% |
2420
28.8 IPS |
|
|
Face Detection (Q)
|
97% |
8262
98.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
16657
128.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3450
26.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
18166
145.4 IPS |
|
|
Style Transfer (SP)
|
100% |
38811
49.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33094
42.5 IPS |
|
|
Style Transfer (Q)
|
98% |
51596
66.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5839
215.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4556
168.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6381
236.3 IPS |
|
|
Text Classification (SP)
|
100% |
3067
4.09 KIPS |
|
|
Text Classification (HP)
|
100% |
913
1.22 KIPS |
|
|
Text Classification (Q)
|
97% |
1856
2.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
4109
70.8 IPS |
|
|
Machine Translation (HP)
|
100% |
834
14.4 IPS |
|
|
Machine Translation (Q)
|
60% |
4254
94.9 IPS |