Upload Date | September 18 2024 02:44 AM |
Views | 2 |
AI Information | |
---|---|
Framework | ONNX |
Backend | DirectML |
Device | NVIDIA GeForce RTX 4070 Ti |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG STRIX Z690-E GAMING WIFI |
Power Plan | High performance |
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% |
9870
1.84 KIPS |
|
Image Classification (HP)
|
99% |
14507
2.71 KIPS |
|
Image Classification (Q)
|
100% |
8348
1.55 KIPS |
|
Image Segmentation (SP)
|
100% |
13067
211.8 IPS |
|
Image Segmentation (HP)
|
100% |
15260
247.4 IPS |
|
Image Segmentation (Q)
|
98% |
12196
198.3 IPS |
|
Pose Estimation (SP)
|
100% |
165360
192.9 IPS |
|
Pose Estimation (HP)
|
100% |
381744
445.4 IPS |
|
Pose Estimation (Q)
|
97% |
147210
172.4 IPS |
|
Object Detection (SP)
|
100% |
11774
933.9 IPS |
|
Object Detection (HP)
|
100% |
17031
1.35 KIPS |
|
Object Detection (Q)
|
89% |
9566
765.8 IPS |
|
Face Detection (SP)
|
100% |
27711
329.3 IPS |
|
Face Detection (HP)
|
100% |
35860
426.1 IPS |
|
Face Detection (Q)
|
97% |
23522
280.5 IPS |
|
Depth Estimation (SP)
|
100% |
60343
464.9 IPS |
|
Depth Estimation (HP)
|
99% |
104532
807.6 IPS |
|
Depth Estimation (Q)
|
76% |
46940
378.2 IPS |
|
Style Transfer (SP)
|
100% |
287380
369.4 IPS |
|
Style Transfer (HP)
|
100% |
669287
860.4 IPS |
|
Style Transfer (Q)
|
98% |
259542
334.7 IPS |
|
Image Super-Resolution (SP)
|
100% |
43965
1.62 KIPS |
|
Image Super-Resolution (HP)
|
100% |
54805
2.02 KIPS |
|
Image Super-Resolution (Q)
|
99% |
32286
1.20 KIPS |
|
Text Classification (SP)
|
100% |
3693
4.93 KIPS |
|
Text Classification (HP)
|
99% |
4621
6.17 KIPS |
|
Text Classification (Q)
|
97% |
2191
2.93 KIPS |
|
Machine Translation (SP)
|
100% |
3432
59.1 IPS |
|
Machine Translation (HP)
|
100% |
3407
58.7 IPS |
|
Machine Translation (Q)
|
60% |
1569
35.0 IPS |