Upload Date | June 12 2025 07:39 PM |
Views | 4 |
AI Information | |
---|---|
Framework | ONNX |
Backend | CPU |
Device | Intel Xeon E3-1220 v2 |
System Information | |
---|---|
Operating System | Windows 10 Pro (64-bit) |
Model | System manufacturer System Product Name |
Motherboard | ASUSTeK Computer INC. Maximus IV Extreme-Z |
CPU Information | |
---|---|
Name | Intel Xeon E3-1220 v2 |
Topology | 1 Processor, 4 Cores |
Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
Base Frequency | 3.10 GHz |
Cluster 1 | 4 Cores |
Memory Information | |
---|---|
Size | 16.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
726
135.1 IPS |
|
Image Classification (HP)
|
100% |
227
42.3 IPS |
|
Image Classification (Q)
|
96% |
656
122.6 IPS |
|
Image Segmentation (SP)
|
100% |
537
8.71 IPS |
|
Image Segmentation (HP)
|
100% |
332
5.38 IPS |
|
Image Segmentation (Q)
|
97% |
522
8.49 IPS |
|
Pose Estimation (SP)
|
100% |
1415
1.65 IPS |
|
Pose Estimation (HP)
|
100% |
1109
1.29 IPS |
|
Pose Estimation (Q)
|
86% |
1307
1.55 IPS |
|
Object Detection (SP)
|
100% |
714
56.6 IPS |
|
Object Detection (HP)
|
100% |
276
21.9 IPS |
|
Object Detection (Q)
|
58% |
471
51.5 IPS |
|
Face Detection (SP)
|
100% |
1783
21.2 IPS |
|
Face Detection (HP)
|
100% |
684
8.12 IPS |
|
Face Detection (Q)
|
96% |
1517
18.1 IPS |
|
Depth Estimation (SP)
|
100% |
1837
14.2 IPS |
|
Depth Estimation (HP)
|
99% |
800
6.16 IPS |
|
Depth Estimation (Q)
|
78% |
1515
12.1 IPS |
|
Style Transfer (SP)
|
100% |
3454
4.44 IPS |
|
Style Transfer (HP)
|
100% |
2813
3.62 IPS |
|
Style Transfer (Q)
|
87% |
3055
3.98 IPS |
|
Image Super-Resolution (SP)
|
100% |
715
26.4 IPS |
|
Image Super-Resolution (HP)
|
100% |
626
23.1 IPS |
|
Image Super-Resolution (Q)
|
97% |
655
24.3 IPS |
|
Text Classification (SP)
|
100% |
561
748.1 IPS |
|
Text Classification (HP)
|
100% |
297
396.4 IPS |
|
Text Classification (Q)
|
97% |
269
359.8 IPS |
|
Machine Translation (SP)
|
100% |
857
14.8 IPS |
|
Machine Translation (HP)
|
100% |
324
5.58 IPS |
|
Machine Translation (Q)
|
68% |
818
15.8 IPS |