| User | domdtxdissar |
| Upload Date | January 19 2025 01:43 AM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Eng Sample: 100-000001277-60_Y |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro N (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG CROSSHAIR X870E APEX |
| Power Plan | Balansert |
| 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% |
6759
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
7262
1.35 KIPS |
|
|
Image Classification (Q)
|
100% |
16605
3.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10063
163.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9502
154.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19697
319.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
34733
40.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
34747
40.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
137411
160.9 IPS |
|
|
Object Detection (SP)
|
100% |
9394
745.2 IPS |
|
|
Object Detection (HP)
|
100% |
9111
722.7 IPS |
|
|
Object Detection (Q)
|
88% |
18765
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
20162
239.6 IPS |
|
|
Face Detection (HP)
|
100% |
20961
249.1 IPS |
|
|
Face Detection (Q)
|
100% |
47685
566.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
26086
201.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
25194
194.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
69416
540.1 IPS |
|
|
Style Transfer (SP)
|
100% |
89515
115.1 IPS |
|
|
Style Transfer (HP)
|
100% |
91114
117.1 IPS |
|
|
Style Transfer (Q)
|
98% |
317187
409.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16033
592.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16251
600.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41353
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
5169
6.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5303
7.08 KIPS |
|
|
Text Classification (Q)
|
92% |
6164
8.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
7346
126.5 IPS |
|
|
Machine Translation (HP)
|
100% |
7110
122.5 IPS |
|
|
Machine Translation (Q)
|
100% |
7480
128.8 IPS |