| User | danlopex |
| Upload Date | November 23 2024 04:06 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. Z690 AORUS PRO |
| Motherboard | Gigabyte Technology Co., Ltd. Z690 AORUS PRO |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2579
479.7 IPS |
|
|
Image Classification (HP)
|
100% |
566
105.2 IPS |
|
|
Image Classification (Q)
|
99% |
4676
872.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1129
18.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
4047
65.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12082
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
5210
6.08 IPS |
|
|
Pose Estimation (Q)
|
95% |
34975
41.0 IPS |
|
|
Object Detection (SP)
|
100% |
3155
250.2 IPS |
|
|
Object Detection (HP)
|
100% |
759
60.2 IPS |
|
|
Object Detection (Q)
|
88% |
2532
203.0 IPS |
|
|
Face Detection (SP)
|
100% |
5137
61.0 IPS |
|
|
Face Detection (HP)
|
100% |
1820
21.6 IPS |
|
|
Face Detection (Q)
|
97% |
5324
63.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
10869
83.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
2348
18.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
11272
90.2 IPS |
|
|
Style Transfer (SP)
|
100% |
26012
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
13182
16.9 IPS |
|
|
Style Transfer (Q)
|
98% |
29339
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4255
157.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2352
86.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5814
215.3 IPS |
|
|
Text Classification (SP)
|
100% |
1999
2.67 KIPS |
|
|
Text Classification (HP)
|
100% |
788
1.05 KIPS |
|
|
Text Classification (Q)
|
97% |
618
827.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2373
40.9 IPS |
|
|
Machine Translation (HP)
|
100% |
802
13.8 IPS |
|
|
Machine Translation (Q)
|
60% |
3009
67.1 IPS |