Upload Date | December 18 2024 11:24 AM |
Views | 9 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 7950X 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Home (64-bit) |
Model | Gigabyte Technology Co., Ltd. B650E AORUS ELITE X AX ICE |
Motherboard | Gigabyte Technology Co., Ltd. B650E AORUS ELITE X AX ICE |
Power Plan | High performance |
CPU Information | |
---|---|
Name | AMD Ryzen 9 7950X |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 4.50 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 32.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
5248
975.9 IPS |
|
Image Classification (HP)
|
100% |
5320
989.3 IPS |
|
Image Classification (Q)
|
100% |
11261
2.09 KIPS |
|
Image Segmentation (SP)
|
100% |
7360
119.3 IPS |
|
Image Segmentation (HP)
|
100% |
6999
113.5 IPS |
|
Image Segmentation (Q)
|
99% |
17903
290.2 IPS |
|
Pose Estimation (SP)
|
100% |
17425
20.3 IPS |
|
Pose Estimation (HP)
|
100% |
17355
20.3 IPS |
|
Pose Estimation (Q)
|
98% |
68789
80.5 IPS |
|
Object Detection (SP)
|
100% |
6141
487.1 IPS |
|
Object Detection (HP)
|
100% |
5968
473.3 IPS |
|
Object Detection (Q)
|
88% |
12757
1.02 KIPS |
|
Face Detection (SP)
|
100% |
14859
176.6 IPS |
|
Face Detection (HP)
|
100% |
14364
170.7 IPS |
|
Face Detection (Q)
|
100% |
36539
434.2 IPS |
|
Depth Estimation (SP)
|
100% |
16775
129.2 IPS |
|
Depth Estimation (HP)
|
99% |
16866
129.9 IPS |
|
Depth Estimation (Q)
|
88% |
44720
348.0 IPS |
|
Style Transfer (SP)
|
100% |
44667
57.4 IPS |
|
Style Transfer (HP)
|
100% |
44624
57.4 IPS |
|
Style Transfer (Q)
|
98% |
162514
209.6 IPS |
|
Image Super-Resolution (SP)
|
100% |
9060
334.5 IPS |
|
Image Super-Resolution (HP)
|
100% |
9144
337.7 IPS |
|
Image Super-Resolution (Q)
|
99% |
25047
927.6 IPS |
|
Text Classification (SP)
|
100% |
4017
5.36 KIPS |
|
Text Classification (HP)
|
100% |
4221
5.63 KIPS |
|
Text Classification (Q)
|
92% |
5120
6.88 KIPS |
|
Machine Translation (SP)
|
100% |
5256
90.5 IPS |
|
Machine Translation (HP)
|
100% |
5418
93.3 IPS |
|
Machine Translation (Q)
|
100% |
5420
93.4 IPS |