| User | Morgoth |
| Upload Date | August 06 2025 06:56 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% |
4326
804.5 IPS |
|
|
Image Classification (HP)
|
100% |
660
122.8 IPS |
|
|
Image Classification (Q)
|
96% |
5749
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2271
36.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
1027
16.6 IPS |
|
|
Image Segmentation (Q)
|
97% |
5480
89.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
10186
11.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
7916
9.24 IPS |
|
|
Pose Estimation (Q)
|
86% |
16923
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
4212
334.1 IPS |
|
|
Object Detection (HP)
|
100% |
882
70.0 IPS |
|
|
Object Detection (Q)
|
58% |
3797
414.9 IPS |
|
|
Face Detection (SP)
|
100% |
6819
81.0 IPS |
|
|
Face Detection (HP)
|
100% |
1827
21.7 IPS |
|
|
Face Detection (Q)
|
96% |
9176
109.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
12144
93.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2686
20.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
13876
110.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22961
29.5 IPS |
|
|
Style Transfer (HP)
|
100% |
18325
23.6 IPS |
|
|
Style Transfer (Q)
|
87% |
22256
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3642
134.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2739
101.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5376
199.2 IPS |
|
|
Text Classification (SP)
|
100% |
1899
2.53 KIPS |
|
|
Text Classification (HP)
|
100% |
937
1.25 KIPS |
|
|
Text Classification (Q)
|
97% |
545
729.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2913
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1005
17.3 IPS |
|
|
Machine Translation (Q)
|
68% |
3142
60.7 IPS |