| User | xust- |
| Upload Date | August 17 2024 05:49 PM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5900X 12-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X570 AORUS ULTRA |
| Motherboard | Gigabyte Technology Co., Ltd. X570 AORUS ULTRA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3787
704.2 IPS |
|
|
Image Classification (HP)
|
100% |
3706
689.2 IPS |
|
|
Image Classification (Q)
|
100% |
5271
980.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
3544
57.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
3371
54.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
6454
104.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
10703
12.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
10708
12.5 IPS |
|
|
Pose Estimation (Q)
|
94% |
21857
25.6 IPS |
|
|
Object Detection (SP)
|
100% |
4127
327.4 IPS |
|
|
Object Detection (HP)
|
100% |
4122
326.9 IPS |
|
|
Object Detection (Q)
|
87% |
6401
513.4 IPS |
|
|
Face Detection (SP)
|
100% |
10086
119.8 IPS |
|
|
Face Detection (HP)
|
100% |
10221
121.4 IPS |
|
|
Face Detection (Q)
|
97% |
19228
229.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
10592
81.6 IPS |
|
|
Depth Estimation (HP)
|
100% |
10754
82.8 IPS |
|
|
Depth Estimation (Q)
|
79% |
18419
146.1 IPS |
|
|
Style Transfer (SP)
|
100% |
30903
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
31270
40.2 IPS |
|
|
Style Transfer (Q)
|
98% |
60204
77.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5896
217.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5968
220.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10481
388.2 IPS |
|
|
Text Classification (SP)
|
100% |
803
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
845
1.13 KIPS |
|
|
Text Classification (Q)
|
91% |
470
631.9 IPS |
|
|
Machine Translation (SP)
|
100% |
3233
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3145
54.2 IPS |
|
|
Machine Translation (Q)
|
90% |
1956
34.0 IPS |