| User | BeanBagKing |
| Upload Date | April 15 2025 12:35 PM |
| Views | 11 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 2080 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Education (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z390-E GAMING |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i9-9900K |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6755
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
9064
1.69 KIPS |
|
|
Image Classification (Q)
|
99% |
4562
851.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
11472
186.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
15689
254.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
9071
147.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
98200
114.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
288092
336.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
79673
93.3 IPS |
|
|
Object Detection (SP)
|
100% |
8621
683.9 IPS |
|
|
Object Detection (HP)
|
100% |
11849
939.9 IPS |
|
|
Object Detection (Q)
|
85% |
6329
509.5 IPS |
|
|
Face Detection (SP)
|
100% |
22648
269.1 IPS |
|
|
Face Detection (HP)
|
100% |
32198
382.6 IPS |
|
|
Face Detection (Q)
|
97% |
16662
198.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
46991
362.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
75381
580.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
29693
237.9 IPS |
|
|
Style Transfer (SP)
|
100% |
194405
249.9 IPS |
|
|
Style Transfer (HP)
|
100% |
397159
510.6 IPS |
|
|
Style Transfer (Q)
|
98% |
145481
187.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26764
988.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
36442
1.35 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15816
585.6 IPS |
|
|
Text Classification (SP)
|
100% |
1747
2.33 KIPS |
|
|
Text Classification (HP)
|
99% |
2876
3.84 KIPS |
|
|
Text Classification (Q)
|
97% |
1008
1.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
3176
54.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3157
54.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1256
23.6 IPS |