| User | enroscado |
| Upload Date | April 29 2025 08:11 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel(R) Core(TM) i9-14900KS |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.1 LTS |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG MAXIMUS Z790 APEX ENCORE |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 5.90 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.61 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3067
570.4 IPS |
|
|
Image Classification (HP)
|
100% |
325
60.5 IPS |
|
|
Image Classification (Q)
|
97% |
10159
1.90 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2483
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
498
8.07 IPS |
|
|
Image Segmentation (Q)
|
99% |
5078
82.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
9599
11.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
4789
5.59 IPS |
|
|
Pose Estimation (Q)
|
94% |
35484
41.6 IPS |
|
|
Object Detection (SP)
|
100% |
3267
259.1 IPS |
|
|
Object Detection (HP)
|
100% |
390
30.9 IPS |
|
|
Object Detection (Q)
|
86% |
9450
759.5 IPS |
|
|
Face Detection (SP)
|
100% |
5943
70.6 IPS |
|
|
Face Detection (HP)
|
100% |
616
7.32 IPS |
|
|
Face Detection (Q)
|
97% |
23926
285.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10483
80.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1757
13.5 IPS |
|
|
Depth Estimation (Q)
|
78% |
23929
190.9 IPS |
|
|
Style Transfer (SP)
|
100% |
23871
30.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12308
15.8 IPS |
|
|
Style Transfer (Q)
|
98% |
31799
41.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4323
159.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2444
90.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
7869
291.4 IPS |
|
|
Text Classification (SP)
|
100% |
2512
3.35 KIPS |
|
|
Text Classification (HP)
|
100% |
754
1.01 KIPS |
|
|
Text Classification (Q)
|
97% |
2261
3.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
4054
69.8 IPS |
|
|
Machine Translation (HP)
|
100% |
872
15.0 IPS |
|
|
Machine Translation (Q)
|
65% |
4972
99.9 IPS |