User | boriga7 |
Upload Date | June 24 2025 01:14 PM |
Views | 8 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 9 5950X 16-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 10 Enterprise (64-bit) |
Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE AX V2 |
Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE AX V2 |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 9 5950X |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 33 Stepping 0 |
Base Frequency | 3.40 GHz |
Cluster 1 | 16 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
3874
720.5 IPS |
|
Image Classification (HP)
|
100% |
3565
662.9 IPS |
|
Image Classification (Q)
|
100% |
6293
1.17 KIPS |
|
Image Segmentation (SP)
|
100% |
5299
85.9 IPS |
|
Image Segmentation (HP)
|
100% |
5426
88.0 IPS |
|
Image Segmentation (Q)
|
99% |
10365
168.5 IPS |
|
Pose Estimation (SP)
|
100% |
12106
14.1 IPS |
|
Pose Estimation (HP)
|
100% |
12176
14.2 IPS |
|
Pose Estimation (Q)
|
94% |
26404
31.0 IPS |
|
Object Detection (SP)
|
100% |
4360
345.9 IPS |
|
Object Detection (HP)
|
100% |
3981
315.8 IPS |
|
Object Detection (Q)
|
87% |
7146
573.1 IPS |
|
Face Detection (SP)
|
100% |
10734
127.5 IPS |
|
Face Detection (HP)
|
100% |
10191
121.1 IPS |
|
Face Detection (Q)
|
97% |
22193
264.6 IPS |
|
Depth Estimation (SP)
|
100% |
11468
88.4 IPS |
|
Depth Estimation (HP)
|
99% |
11663
89.9 IPS |
|
Depth Estimation (Q)
|
81% |
22724
179.2 IPS |
|
Style Transfer (SP)
|
100% |
34743
44.7 IPS |
|
Style Transfer (HP)
|
100% |
34565
44.4 IPS |
|
Style Transfer (Q)
|
98% |
73131
94.3 IPS |
|
Image Super-Resolution (SP)
|
100% |
6679
246.6 IPS |
|
Image Super-Resolution (HP)
|
100% |
6616
244.3 IPS |
|
Image Super-Resolution (Q)
|
98% |
12939
479.3 IPS |
|
Text Classification (SP)
|
100% |
2781
3.71 KIPS |
|
Text Classification (HP)
|
100% |
2802
3.74 KIPS |
|
Text Classification (Q)
|
91% |
247
332.7 IPS |
|
Machine Translation (SP)
|
100% |
3266
56.3 IPS |
|
Machine Translation (HP)
|
100% |
3232
55.7 IPS |
|
Machine Translation (Q)
|
100% |
3304
56.9 IPS |