| User | Morgoth |
| Upload Date | August 06 2025 07:08 AM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-10900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z490 AORUS ELITE |
| Motherboard | Gigabyte Technology Co., Ltd. Z490 AORUS ELITE |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-10900K |
| Topology | 1 Processor, 10 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 5 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4356
810.2 IPS |
|
|
Image Classification (HP)
|
100% |
670
124.5 IPS |
|
|
Image Classification (Q)
|
96% |
5892
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2300
37.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1040
16.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
5559
90.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
10284
12.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
7966
9.30 IPS |
|
|
Pose Estimation (Q)
|
86% |
17154
20.3 IPS |
|
|
Object Detection (SP)
|
100% |
4251
337.2 IPS |
|
|
Object Detection (HP)
|
100% |
892
70.8 IPS |
|
|
Object Detection (Q)
|
58% |
3859
421.7 IPS |
|
|
Face Detection (SP)
|
100% |
6919
82.2 IPS |
|
|
Face Detection (HP)
|
100% |
1853
22.0 IPS |
|
|
Face Detection (Q)
|
96% |
9272
110.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
10862
83.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2710
20.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
14093
112.5 IPS |
|
|
Style Transfer (SP)
|
100% |
23185
29.8 IPS |
|
|
Style Transfer (HP)
|
100% |
18403
23.7 IPS |
|
|
Style Transfer (Q)
|
87% |
22439
29.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3652
134.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2833
104.6 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5442
201.7 IPS |
|
|
Text Classification (SP)
|
100% |
1885
2.52 KIPS |
|
|
Text Classification (HP)
|
100% |
906
1.21 KIPS |
|
|
Text Classification (Q)
|
97% |
542
726.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2903
50.0 IPS |
|
|
Machine Translation (HP)
|
100% |
998
17.2 IPS |
|
|
Machine Translation (Q)
|
68% |
3071
59.3 IPS |