| Upload Date | September 13 2025 10:58 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) w9-3495X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS W790E-SAGE SE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Xeon w9-3495X |
| Topology | 1 Processor, 56 Cores |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 6 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 56 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9480
1.76 KIPS |
|
|
Image Classification (HP)
|
100% |
5915
1.10 KIPS |
|
|
Image Classification (Q)
|
100% |
12271
2.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11306
183.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.76 IPS |
|
|
Image Segmentation (Q)
|
99% |
15755
255.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
58938
68.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
40612
47.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
313249
366.8 IPS |
|
|
Object Detection (SP)
|
100% |
9592
760.8 IPS |
|
|
Object Detection (HP)
|
100% |
7067
560.5 IPS |
|
|
Object Detection (Q)
|
88% |
13745
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
29637
352.2 IPS |
|
|
Face Detection (HP)
|
100% |
17563
208.7 IPS |
|
|
Face Detection (Q)
|
100% |
40339
479.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
40033
308.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
26125
201.3 IPS |
|
|
Depth Estimation (Q)
|
88% |
60540
471.3 IPS |
|
|
Style Transfer (SP)
|
100% |
178622
229.6 IPS |
|
|
Style Transfer (HP)
|
100% |
100206
128.8 IPS |
|
|
Style Transfer (Q)
|
98% |
761577
982.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21027
776.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16465
608.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
32291
1.20 KIPS |
|
|
Text Classification (SP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (HP)
|
100% |
1690
2.26 KIPS |
|
|
Text Classification (Q)
|
92% |
2807
3.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
3799
65.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3798
65.4 IPS |
|
|
Machine Translation (Q)
|
100% |
4151
71.5 IPS |