| User | domdtxdissar |
| Upload Date | December 20 2024 03:04 PM |
| Views | 9 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X 16-Core Processor |
| 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 Ryzen 9 9950X 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7380
1.37 KIPS |
|
|
Image Classification (HP)
|
100% |
7476
1.39 KIPS |
|
|
Image Classification (Q)
|
100% |
15988
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9409
152.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
9612
155.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
19360
313.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
34929
40.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
34533
40.3 IPS |
|
|
Pose Estimation (Q)
|
98% |
138931
162.6 IPS |
|
|
Object Detection (SP)
|
100% |
9462
750.6 IPS |
|
|
Object Detection (HP)
|
100% |
8818
699.5 IPS |
|
|
Object Detection (Q)
|
88% |
18654
1.50 KIPS |
|
|
Face Detection (SP)
|
100% |
20321
241.5 IPS |
|
|
Face Detection (HP)
|
100% |
20251
240.6 IPS |
|
|
Face Detection (Q)
|
100% |
52055
618.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
27104
208.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
26746
206.1 IPS |
|
|
Depth Estimation (Q)
|
88% |
70446
548.1 IPS |
|
|
Style Transfer (SP)
|
100% |
89329
114.8 IPS |
|
|
Style Transfer (HP)
|
100% |
88775
114.1 IPS |
|
|
Style Transfer (Q)
|
98% |
314228
405.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16238
599.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15990
590.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
40980
1.52 KIPS |
|
|
Text Classification (SP)
|
100% |
5333
7.12 KIPS |
|
|
Text Classification (HP)
|
100% |
5240
6.99 KIPS |
|
|
Text Classification (Q)
|
92% |
6349
8.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
7848
135.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7763
133.7 IPS |
|
|
Machine Translation (Q)
|
100% |
7185
123.8 IPS |