| User | Freakshow85 |
| Upload Date | January 24 2025 12:39 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B550-F GAMING WIFI II |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3667
681.9 IPS |
|
|
Image Classification (HP)
|
100% |
3641
677.1 IPS |
|
|
Image Classification (Q)
|
100% |
5499
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4933
80.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
5049
81.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
7942
129.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10406
12.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
10433
12.2 IPS |
|
|
Pose Estimation (Q)
|
94% |
22280
26.1 IPS |
|
|
Object Detection (SP)
|
100% |
3984
316.0 IPS |
|
|
Object Detection (HP)
|
100% |
4009
318.0 IPS |
|
|
Object Detection (Q)
|
87% |
6461
518.2 IPS |
|
|
Face Detection (SP)
|
100% |
9830
116.8 IPS |
|
|
Face Detection (HP)
|
100% |
10354
123.0 IPS |
|
|
Face Detection (Q)
|
97% |
19235
229.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10573
81.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
10637
82.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
19287
152.2 IPS |
|
|
Style Transfer (SP)
|
100% |
30570
39.3 IPS |
|
|
Style Transfer (HP)
|
100% |
30484
39.2 IPS |
|
|
Style Transfer (Q)
|
98% |
61119
78.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5928
218.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5950
219.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10837
401.4 IPS |
|
|
Text Classification (SP)
|
100% |
2656
3.54 KIPS |
|
|
Text Classification (HP)
|
100% |
2638
3.52 KIPS |
|
|
Text Classification (Q)
|
91% |
468
629.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2949
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2875
49.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2861
49.3 IPS |