| User | rgba |
| Upload Date | September 06 2025 03:31 PM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 7 9800X3D 8-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B850M-PLUS WIFI |
| 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% |
8606
1.60 KIPS |
|
|
Image Classification (HP)
|
100% |
8551
1.59 KIPS |
|
|
Image Classification (Q)
|
100% |
19967
3.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9041
146.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9418
152.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
24952
404.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
16395
19.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
16694
19.5 IPS |
|
|
Pose Estimation (Q)
|
98% |
65950
77.2 IPS |
|
|
Object Detection (SP)
|
100% |
8668
687.6 IPS |
|
|
Object Detection (HP)
|
100% |
8499
674.1 IPS |
|
|
Object Detection (Q)
|
88% |
22573
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
26973
320.5 IPS |
|
|
Face Detection (HP)
|
100% |
26757
317.9 IPS |
|
|
Face Detection (Q)
|
100% |
55310
657.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
21220
163.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
21086
162.5 IPS |
|
|
Depth Estimation (Q)
|
88% |
60807
473.2 IPS |
|
|
Style Transfer (SP)
|
100% |
47214
60.7 IPS |
|
|
Style Transfer (HP)
|
100% |
47679
61.3 IPS |
|
|
Style Transfer (Q)
|
98% |
164823
212.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10617
392.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10320
381.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
30973
1.15 KIPS |
|
|
Text Classification (SP)
|
100% |
6596
8.80 KIPS |
|
|
Text Classification (HP)
|
100% |
6701
8.94 KIPS |
|
|
Text Classification (Q)
|
92% |
8985
12.1 KIPS |
|
|
Machine Translation (SP)
|
100% |
11106
191.3 IPS |
|
|
Machine Translation (HP)
|
100% |
11393
196.2 IPS |
|
|
Machine Translation (Q)
|
100% |
13335
229.7 IPS |