User | cgraff |
Upload Date | January 22 2025 12:59 AM |
Views | 9 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 7 9800X3D 8-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | Gigabyte Technology Co., Ltd. X670E AORUS PRO X |
Motherboard | Gigabyte Technology Co., Ltd. X670E AORUS PRO X |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 7 9800X3D 8-Core Processor |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
Base Frequency | 4.70 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 64.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
7966
1.48 KIPS |
|
Image Classification (HP)
|
100% |
7730
1.44 KIPS |
|
Image Classification (Q)
|
100% |
17599
3.27 KIPS |
|
Image Segmentation (SP)
|
100% |
8348
135.3 IPS |
|
Image Segmentation (HP)
|
100% |
8303
134.6 IPS |
|
Image Segmentation (Q)
|
99% |
18566
301.0 IPS |
|
Pose Estimation (SP)
|
100% |
15875
18.5 IPS |
|
Pose Estimation (HP)
|
100% |
15615
18.2 IPS |
|
Pose Estimation (Q)
|
98% |
63814
74.7 IPS |
|
Object Detection (SP)
|
100% |
7889
625.7 IPS |
|
Object Detection (HP)
|
100% |
7859
623.4 IPS |
|
Object Detection (Q)
|
88% |
19169
1.54 KIPS |
|
Face Detection (SP)
|
100% |
21157
251.4 IPS |
|
Face Detection (HP)
|
100% |
21584
256.5 IPS |
|
Face Detection (Q)
|
100% |
46459
552.0 IPS |
|
Depth Estimation (SP)
|
100% |
20437
157.5 IPS |
|
Depth Estimation (HP)
|
99% |
20797
160.2 IPS |
|
Depth Estimation (Q)
|
88% |
53975
420.0 IPS |
|
Style Transfer (SP)
|
100% |
44921
57.7 IPS |
|
Style Transfer (HP)
|
100% |
44940
57.8 IPS |
|
Style Transfer (Q)
|
98% |
159688
205.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
9944
367.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
9910
365.9 IPS |
|
Image Super-Resolution (Q)
|
99% |
29686
1.10 KIPS |
|
Text Classification (SP)
|
100% |
6292
8.40 KIPS |
|
Text Classification (HP)
|
100% |
6310
8.42 KIPS |
|
Text Classification (Q)
|
92% |
8539
11.5 KIPS |
|
Machine Translation (SP)
|
100% |
8460
145.7 IPS |
|
Machine Translation (HP)
|
100% |
8113
139.8 IPS |
|
Machine Translation (Q)
|
100% |
9840
169.5 IPS |