| Upload Date | December 09 2025 12:47 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E3-1285 v4 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. H97M-D3H |
| Motherboard | Gigabyte Technology Co., Ltd. H97M-D3H |
| Power Plan | Wysoka wydajno |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1285 v4 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 71 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1479
275.0 IPS |
|
|
Image Classification (HP)
|
100% |
376
69.9 IPS |
|
|
Image Classification (Q)
|
96% |
1420
265.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
942
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
540
8.75 IPS |
|
|
Image Segmentation (Q)
|
97% |
1316
21.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
2912
3.40 IPS |
|
|
Pose Estimation (HP)
|
100% |
2375
2.77 IPS |
|
|
Pose Estimation (Q)
|
86% |
3047
3.60 IPS |
|
|
Object Detection (SP)
|
100% |
1422
112.8 IPS |
|
|
Object Detection (HP)
|
100% |
480
38.1 IPS |
|
|
Object Detection (Q)
|
58% |
957
104.5 IPS |
|
|
Face Detection (SP)
|
100% |
3631
43.1 IPS |
|
|
Face Detection (HP)
|
100% |
1086
12.9 IPS |
|
|
Face Detection (Q)
|
96% |
3219
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
3695
28.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
1317
10.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
3526
28.1 IPS |
|
|
Style Transfer (SP)
|
100% |
6848
8.80 IPS |
|
|
Style Transfer (HP)
|
100% |
5267
6.77 IPS |
|
|
Style Transfer (Q)
|
87% |
6316
8.22 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1388
51.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1176
43.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1526
56.6 IPS |
|
|
Text Classification (SP)
|
100% |
1097
1.46 KIPS |
|
|
Text Classification (HP)
|
100% |
555
740.3 IPS |
|
|
Text Classification (Q)
|
97% |
369
494.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1574
27.1 IPS |
|
|
Machine Translation (HP)
|
100% |
545
9.38 IPS |
|
|
Machine Translation (Q)
|
68% |
1410
27.3 IPS |