| User | Kazumizi |
| Upload Date | September 11 2025 06:26 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) w9-3495X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Dell Inc. Precision 7960 Tower |
| Motherboard | Dell Inc. 01G0M6 |
| CPU Information | |
|---|---|
| Name | Intel Xeon w9-3495X |
| Topology | 1 Processor, 56 Cores, 112 Threads |
| Identifier | GenuineIntel Family 6 Model 143 Stepping 8 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3337
620.6 IPS |
|
|
Image Classification (HP)
|
100% |
3953
735.2 IPS |
|
|
Image Classification (Q)
|
100% |
7892
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5151
83.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3030
49.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
15408
249.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
13754
16.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
10339
12.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
105930
124.0 IPS |
|
|
Object Detection (SP)
|
100% |
3173
251.7 IPS |
|
|
Object Detection (HP)
|
100% |
2939
233.1 IPS |
|
|
Object Detection (Q)
|
88% |
7761
622.1 IPS |
|
|
Face Detection (SP)
|
100% |
9861
117.2 IPS |
|
|
Face Detection (HP)
|
100% |
9789
116.3 IPS |
|
|
Face Detection (Q)
|
100% |
23448
278.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11366
87.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
8952
69.0 IPS |
|
|
Depth Estimation (Q)
|
88% |
30106
234.3 IPS |
|
|
Style Transfer (SP)
|
100% |
36282
46.6 IPS |
|
|
Style Transfer (HP)
|
100% |
24471
31.5 IPS |
|
|
Style Transfer (Q)
|
98% |
244573
315.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5721
211.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3553
131.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15014
556.0 IPS |
|
|
Text Classification (SP)
|
100% |
1241
1.66 KIPS |
|
|
Text Classification (HP)
|
100% |
896
1.20 KIPS |
|
|
Text Classification (Q)
|
92% |
1913
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
2488
42.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2619
45.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2993
51.6 IPS |