| User | domdtxdissar |
| Upload Date | January 07 2025 06:31 PM |
| Views | 15 |
| 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% |
7518
1.40 KIPS |
|
|
Image Classification (HP)
|
100% |
7198
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
15285
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9884
160.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
9930
161.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19276
312.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
35101
41.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
34612
40.4 IPS |
|
|
Pose Estimation (Q)
|
98% |
138010
161.6 IPS |
|
|
Object Detection (SP)
|
100% |
8798
697.9 IPS |
|
|
Object Detection (HP)
|
100% |
8931
708.4 IPS |
|
|
Object Detection (Q)
|
88% |
18968
1.52 KIPS |
|
|
Face Detection (SP)
|
100% |
20057
238.3 IPS |
|
|
Face Detection (HP)
|
100% |
19233
228.5 IPS |
|
|
Face Detection (Q)
|
100% |
50194
596.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26327
202.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
25943
199.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
69269
539.0 IPS |
|
|
Style Transfer (SP)
|
100% |
90150
115.9 IPS |
|
|
Style Transfer (HP)
|
100% |
90528
116.4 IPS |
|
|
Style Transfer (Q)
|
98% |
315210
406.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15898
587.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15925
588.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
41265
1.53 KIPS |
|
|
Text Classification (SP)
|
100% |
5502
7.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5558
7.42 KIPS |
|
|
Text Classification (Q)
|
92% |
6147
8.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
7217
124.3 IPS |
|
|
Machine Translation (HP)
|
100% |
7530
129.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7156
123.3 IPS |