| User | pesho666 |
| Upload Date | December 28 2024 01:31 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-14900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| CPU Information | |
|---|---|
| Name | Intel Core i9-14900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5441
1.01 KIPS |
|
|
Image Classification (HP)
|
100% |
677
125.9 IPS |
|
|
Image Classification (Q)
|
99% |
8342
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2745
44.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1469
23.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4889
79.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
13225
15.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
5304
6.19 IPS |
|
|
Pose Estimation (Q)
|
94% |
43966
51.5 IPS |
|
|
Object Detection (SP)
|
100% |
5092
403.9 IPS |
|
|
Object Detection (HP)
|
100% |
874
69.3 IPS |
|
|
Object Detection (Q)
|
86% |
9321
749.1 IPS |
|
|
Face Detection (SP)
|
100% |
15245
181.1 IPS |
|
|
Face Detection (HP)
|
100% |
2060
24.5 IPS |
|
|
Face Detection (Q)
|
97% |
14204
169.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
15664
120.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2561
19.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
25419
202.8 IPS |
|
|
Style Transfer (SP)
|
100% |
30121
38.7 IPS |
|
|
Style Transfer (HP)
|
100% |
13120
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
43575
56.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4535
167.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2533
93.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6688
247.6 IPS |
|
|
Text Classification (SP)
|
100% |
2101
2.80 KIPS |
|
|
Text Classification (HP)
|
100% |
881
1.18 KIPS |
|
|
Text Classification (Q)
|
97% |
2058
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2410
41.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1097
18.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4444
89.3 IPS |