| User | LinFengJun |
| Upload Date | August 16 2024 01:56 AM |
| Views | 26 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Intel(R) Client Systems NUC13SBBi9 |
| Motherboard | Intel Corporation NUC13SBBi9 |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12923
2.40 KIPS |
|
|
Image Classification (HP)
|
99% |
17713
3.30 KIPS |
|
|
Image Classification (Q)
|
100% |
10614
1.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18566
301.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
22505
364.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
17183
279.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
270049
315.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
477515
557.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
232593
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
16481
1.31 KIPS |
|
|
Object Detection (HP)
|
100% |
21913
1.74 KIPS |
|
|
Object Detection (Q)
|
89% |
14187
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
41426
492.2 IPS |
|
|
Face Detection (HP)
|
100% |
49751
591.2 IPS |
|
|
Face Detection (Q)
|
97% |
35171
419.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
80319
618.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
143839
1.11 KIPS |
|
|
Depth Estimation (Q)
|
75% |
59324
481.0 IPS |
|
|
Style Transfer (SP)
|
100% |
488992
628.6 IPS |
|
|
Style Transfer (HP)
|
100% |
1007550
1.30 KIPS |
|
|
Style Transfer (Q)
|
98% |
440584
568.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54412
2.01 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75613
2.79 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
39225
1.45 KIPS |
|
|
Text Classification (SP)
|
100% |
3671
4.90 KIPS |
|
|
Text Classification (HP)
|
99% |
4664
6.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2104
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4274
73.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4154
71.5 IPS |
|
|
Machine Translation (Q)
|
60% |
1842
41.1 IPS |