| Upload Date | November 11 2025 08:00 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) 6730P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Standard (64-bit) |
| Model | VMware, Inc. VMware20,1 |
| Motherboard | Intel Corporation 440BX Desktop Reference Platform |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) 6730P |
| Topology | 1 Processor, 32 Cores |
| Identifier | GenuineIntel Family 6 Model 173 Stepping 1 |
| Base Frequency | 2.50 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Type | DRAM |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7243
1.35 KIPS |
|
|
Image Classification (HP)
|
100% |
11515
2.14 KIPS |
|
|
Image Classification (Q)
|
100% |
12840
2.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14285
231.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
5703
92.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
31608
512.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
36475
42.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
145889
170.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
229426
268.7 IPS |
|
|
Object Detection (SP)
|
100% |
8038
637.6 IPS |
|
|
Object Detection (HP)
|
100% |
12764
1.01 KIPS |
|
|
Object Detection (Q)
|
88% |
13283
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
27650
328.5 IPS |
|
|
Face Detection (HP)
|
100% |
28445
338.0 IPS |
|
|
Face Detection (Q)
|
100% |
39233
466.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
29672
228.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
47881
368.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
50122
390.1 IPS |
|
|
Style Transfer (SP)
|
100% |
104237
134.0 IPS |
|
|
Style Transfer (HP)
|
100% |
364538
468.6 IPS |
|
|
Style Transfer (Q)
|
98% |
557744
719.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14185
523.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26090
963.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26336
975.3 IPS |
|
|
Text Classification (SP)
|
100% |
2657
3.55 KIPS |
|
|
Text Classification (HP)
|
100% |
2697
3.60 KIPS |
|
|
Text Classification (Q)
|
92% |
2633
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
4768
82.1 IPS |
|
|
Machine Translation (HP)
|
100% |
4757
81.9 IPS |
|
|
Machine Translation (Q)
|
100% |
4777
82.3 IPS |