| User | Sweet2023 |
| Upload Date | September 07 2024 07:49 PM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i9-13900K |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | EVGA Corp. Z690 DARK KINGPIN |
| Motherboard | EVGA Corp. Z690 DARK KINGPIN |
| Power Plan | Equilibrado |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3204
595.8 IPS |
|
|
Image Classification (HP)
|
100% |
792
147.2 IPS |
|
|
Image Classification (Q)
|
99% |
5445
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2510
40.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
1520
24.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3612
58.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10127
11.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
7990
9.32 IPS |
|
|
Pose Estimation (Q)
|
95% |
33284
39.0 IPS |
|
|
Object Detection (SP)
|
100% |
3708
294.1 IPS |
|
|
Object Detection (HP)
|
100% |
1033
82.0 IPS |
|
|
Object Detection (Q)
|
88% |
3215
257.7 IPS |
|
|
Face Detection (SP)
|
100% |
6705
79.7 IPS |
|
|
Face Detection (HP)
|
100% |
2644
31.4 IPS |
|
|
Face Detection (Q)
|
97% |
6591
78.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
11799
90.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
3317
25.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
12749
102.0 IPS |
|
|
Style Transfer (SP)
|
100% |
23788
30.6 IPS |
|
|
Style Transfer (HP)
|
100% |
19942
25.6 IPS |
|
|
Style Transfer (Q)
|
98% |
33298
42.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4590
169.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3680
135.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6693
247.8 IPS |
|
|
Text Classification (SP)
|
100% |
2525
3.37 KIPS |
|
|
Text Classification (HP)
|
100% |
1049
1.40 KIPS |
|
|
Text Classification (Q)
|
97% |
787
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
3651
62.9 IPS |
|
|
Machine Translation (HP)
|
100% |
973
16.8 IPS |
|
|
Machine Translation (Q)
|
60% |
3745
83.5 IPS |