User | cgraff |
Upload Date | February 14 2025 03:19 AM |
Views | 8 |
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% |
8072
1.50 KIPS |
|
Image Classification (HP)
|
100% |
7953
1.48 KIPS |
|
Image Classification (Q)
|
100% |
17152
3.19 KIPS |
|
Image Segmentation (SP)
|
100% |
8540
138.4 IPS |
|
Image Segmentation (HP)
|
100% |
8343
135.2 IPS |
|
Image Segmentation (Q)
|
99% |
20509
332.5 IPS |
|
Pose Estimation (SP)
|
100% |
16015
18.7 IPS |
|
Pose Estimation (HP)
|
100% |
15938
18.6 IPS |
|
Pose Estimation (Q)
|
98% |
62930
73.7 IPS |
|
Object Detection (SP)
|
100% |
8326
660.4 IPS |
|
Object Detection (HP)
|
100% |
8177
648.6 IPS |
|
Object Detection (Q)
|
88% |
19279
1.55 KIPS |
|
Face Detection (SP)
|
100% |
24833
295.1 IPS |
|
Face Detection (HP)
|
100% |
24988
296.9 IPS |
|
Face Detection (Q)
|
100% |
47169
560.5 IPS |
|
Depth Estimation (SP)
|
100% |
21211
163.4 IPS |
|
Depth Estimation (HP)
|
99% |
21481
165.5 IPS |
|
Depth Estimation (Q)
|
88% |
56170
437.1 IPS |
|
Style Transfer (SP)
|
100% |
45684
58.7 IPS |
|
Style Transfer (HP)
|
100% |
45580
58.6 IPS |
|
Style Transfer (Q)
|
98% |
159337
205.5 IPS |
|
Image Super-Resolution (SP)
|
100% |
9930
366.7 IPS |
|
Image Super-Resolution (HP)
|
100% |
9942
367.1 IPS |
|
Image Super-Resolution (Q)
|
99% |
30136
1.12 KIPS |
|
Text Classification (SP)
|
100% |
6300
8.41 KIPS |
|
Text Classification (HP)
|
100% |
6296
8.40 KIPS |
|
Text Classification (Q)
|
92% |
8851
11.9 KIPS |
|
Machine Translation (SP)
|
100% |
8526
146.9 IPS |
|
Machine Translation (HP)
|
100% |
8490
146.2 IPS |
|
Machine Translation (Q)
|
100% |
10065
173.4 IPS |