| User | MemoryzoneBySieuToc |
| Upload Date | September 05 2024 05:04 AM |
| Views | 144 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. TUF GAMING B660M-PLUS WIFI D4 |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core i3-13100F |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 5 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7805
1.45 KIPS |
|
|
Image Classification (HP)
|
99% |
11992
2.24 KIPS |
|
|
Image Classification (Q)
|
100% |
6677
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11573
187.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
14667
237.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10725
174.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
107789
125.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
313544
365.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
95948
112.4 IPS |
|
|
Object Detection (SP)
|
100% |
9424
747.5 IPS |
|
|
Object Detection (HP)
|
100% |
14754
1.17 KIPS |
|
|
Object Detection (Q)
|
89% |
7843
628.0 IPS |
|
|
Face Detection (SP)
|
100% |
19882
236.2 IPS |
|
|
Face Detection (HP)
|
100% |
30132
358.0 IPS |
|
|
Face Detection (Q)
|
97% |
16397
195.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
40563
312.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
84305
649.5 IPS |
|
|
Depth Estimation (Q)
|
72% |
33805
279.3 IPS |
|
|
Style Transfer (SP)
|
100% |
189470
243.6 IPS |
|
|
Style Transfer (HP)
|
100% |
444288
571.1 IPS |
|
|
Style Transfer (Q)
|
98% |
167822
216.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32486
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49951
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24141
893.9 IPS |
|
|
Text Classification (SP)
|
100% |
3330
4.44 KIPS |
|
|
Text Classification (HP)
|
99% |
4157
5.55 KIPS |
|
|
Text Classification (Q)
|
97% |
2053
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3210
55.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3391
58.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1394
31.1 IPS |