| User | nimblebits |
| Upload Date | December 30 2024 02:55 PM |
| Views | 13 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock Z790 PG Lightning |
| Motherboard | ASRock Z790 PG Lightning |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i5-13600K |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7052
1.31 KIPS |
|
|
Image Classification (HP)
|
100% |
11418
2.12 KIPS |
|
|
Image Classification (Q)
|
99% |
5216
972.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
10206
165.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
13389
217.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
8259
134.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
88894
103.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
238843
278.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
71990
84.3 IPS |
|
|
Object Detection (SP)
|
100% |
8382
664.9 IPS |
|
|
Object Detection (HP)
|
100% |
13153
1.04 KIPS |
|
|
Object Detection (Q)
|
84% |
6428
518.5 IPS |
|
|
Face Detection (SP)
|
100% |
19133
227.3 IPS |
|
|
Face Detection (HP)
|
100% |
29479
350.3 IPS |
|
|
Face Detection (Q)
|
97% |
15039
179.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
42613
328.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
74141
571.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
28348
227.1 IPS |
|
|
Style Transfer (SP)
|
100% |
156153
200.7 IPS |
|
|
Style Transfer (HP)
|
100% |
351017
451.2 IPS |
|
|
Style Transfer (Q)
|
98% |
122838
158.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28518
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40254
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16441
608.8 IPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3585
4.79 KIPS |
|
|
Text Classification (Q)
|
97% |
1308
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3273
56.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3308
57.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1386
26.0 IPS |