| User | BLKBRDSR71 |
| Upload Date | August 23 2024 09:35 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. AX370-Gaming 3 |
| Motherboard | Gigabyte Technology Co., Ltd. AX370-Gaming 3-CF |
| 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% |
6349
1.18 KIPS |
|
|
Image Classification (HP)
|
99% |
10441
1.95 KIPS |
|
|
Image Classification (Q)
|
100% |
5622
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
9194
149.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
11486
186.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
8555
139.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
85381
99.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
225260
262.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
76869
90.0 IPS |
|
|
Object Detection (SP)
|
100% |
7479
593.3 IPS |
|
|
Object Detection (HP)
|
100% |
11687
927.0 IPS |
|
|
Object Detection (Q)
|
89% |
6754
540.6 IPS |
|
|
Face Detection (SP)
|
100% |
16422
195.1 IPS |
|
|
Face Detection (HP)
|
100% |
23683
281.4 IPS |
|
|
Face Detection (Q)
|
97% |
13986
166.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
37967
292.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
73444
565.8 IPS |
|
|
Depth Estimation (Q)
|
70% |
29968
251.4 IPS |
|
|
Style Transfer (SP)
|
100% |
139845
179.8 IPS |
|
|
Style Transfer (HP)
|
100% |
338190
434.7 IPS |
|
|
Style Transfer (Q)
|
98% |
128190
165.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27756
1.02 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
43196
1.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
20688
766.1 IPS |
|
|
Text Classification (SP)
|
100% |
3014
4.02 KIPS |
|
|
Text Classification (HP)
|
99% |
3448
4.60 KIPS |
|
|
Text Classification (Q)
|
97% |
1953
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
2762
47.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2899
49.9 IPS |
|
|
Machine Translation (Q)
|
60% |
1366
30.5 IPS |