| User | carbkiller |
| Upload Date | February 26 2025 09:32 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | System manufacturer System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX B450-F GAMING |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2591
481.9 IPS |
|
|
Image Classification (HP)
|
100% |
3933
731.4 IPS |
|
|
Image Classification (Q)
|
99% |
2240
417.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
5625
91.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
5497
89.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4612
75.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
68928
80.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
38013
44.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
53922
63.2 IPS |
|
|
Object Detection (SP)
|
100% |
3255
258.2 IPS |
|
|
Object Detection (HP)
|
100% |
4874
386.6 IPS |
|
|
Object Detection (Q)
|
84% |
2776
223.9 IPS |
|
|
Face Detection (SP)
|
100% |
6637
78.9 IPS |
|
|
Face Detection (HP)
|
100% |
9841
116.9 IPS |
|
|
Face Detection (Q)
|
97% |
5677
67.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
21941
169.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
19147
147.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
16431
131.3 IPS |
|
|
Style Transfer (SP)
|
100% |
112226
144.3 IPS |
|
|
Style Transfer (HP)
|
100% |
62059
79.8 IPS |
|
|
Style Transfer (Q)
|
98% |
83679
107.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20236
747.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14986
553.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11914
441.2 IPS |
|
|
Text Classification (SP)
|
100% |
1732
2.31 KIPS |
|
|
Text Classification (HP)
|
100% |
2108
2.81 KIPS |
|
|
Text Classification (Q)
|
97% |
1100
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
2701
46.5 IPS |
|
|
Machine Translation (HP)
|
96% |
2662
46.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1397
26.2 IPS |