| User | drive5600x |
| Upload Date | September 01 2025 05:37 AM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B650-E WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8562
1.59 KIPS |
|
|
Image Classification (HP)
|
100% |
8402
1.56 KIPS |
|
|
Image Classification (Q)
|
100% |
20574
3.83 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9274
150.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
9292
150.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
25198
408.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16299
19.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16022
18.7 IPS |
|
|
Pose Estimation (Q)
|
98% |
66714
78.1 IPS |
|
|
Object Detection (SP)
|
100% |
8800
698.0 IPS |
|
|
Object Detection (HP)
|
100% |
8783
696.6 IPS |
|
|
Object Detection (Q)
|
88% |
22273
1.79 KIPS |
|
|
Face Detection (SP)
|
100% |
26012
309.1 IPS |
|
|
Face Detection (HP)
|
100% |
26539
315.3 IPS |
|
|
Face Detection (Q)
|
100% |
52589
624.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
21850
168.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21871
168.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
60203
468.6 IPS |
|
|
Style Transfer (SP)
|
100% |
46013
59.2 IPS |
|
|
Style Transfer (HP)
|
100% |
46461
59.7 IPS |
|
|
Style Transfer (Q)
|
98% |
168871
217.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9444
348.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10355
382.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30815
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
6528
8.71 KIPS |
|
|
Text Classification (HP)
|
100% |
6437
8.59 KIPS |
|
|
Text Classification (Q)
|
92% |
8544
11.5 KIPS |
|
|
Machine Translation (SP)
|
100% |
11568
199.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11088
191.0 IPS |
|
|
Machine Translation (Q)
|
100% |
13890
239.3 IPS |