User | Aaronage |
Upload Date | December 16 2024 04:22 PM |
Views | 3 |
AI Information | |
---|---|
Framework | OpenVINO |
Backend | CPU |
Device | AMD Ryzen 7 9700X 8-Core Processor |
System Information | |
---|---|
Operating System | Microsoft Windows 11 Pro (64-bit) |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X870-I GAMING WIFI |
Power Plan | Balanced |
CPU Information | |
---|---|
Name | AMD Ryzen 7 9700X 8-Core Processor |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
Base Frequency | 3.80 GHz |
Cluster 1 | 8 Cores |
Memory Information | |
---|---|
Size | 48.00 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
8076
1.50 KIPS |
|
Image Classification (HP)
|
100% |
8173
1.52 KIPS |
|
Image Classification (Q)
|
100% |
18406
3.42 KIPS |
|
Image Segmentation (SP)
|
100% |
8093
131.2 IPS |
|
Image Segmentation (HP)
|
100% |
8099
131.3 IPS |
|
Image Segmentation (Q)
|
99% |
19676
319.0 IPS |
|
Pose Estimation (SP)
|
100% |
15628
18.2 IPS |
|
Pose Estimation (HP)
|
100% |
15831
18.5 IPS |
|
Pose Estimation (Q)
|
98% |
63971
74.9 IPS |
|
Object Detection (SP)
|
100% |
7324
581.0 IPS |
|
Object Detection (HP)
|
100% |
7399
586.9 IPS |
|
Object Detection (Q)
|
88% |
20495
1.64 KIPS |
|
Face Detection (SP)
|
100% |
17518
208.1 IPS |
|
Face Detection (HP)
|
100% |
17520
208.2 IPS |
|
Face Detection (Q)
|
100% |
49958
593.6 IPS |
|
Depth Estimation (SP)
|
100% |
18419
141.9 IPS |
|
Depth Estimation (HP)
|
99% |
18800
144.8 IPS |
|
Depth Estimation (Q)
|
88% |
56920
442.9 IPS |
|
Style Transfer (SP)
|
100% |
43498
55.9 IPS |
|
Style Transfer (HP)
|
100% |
44186
56.8 IPS |
|
Style Transfer (Q)
|
98% |
161232
207.9 IPS |
|
Image Super-Resolution (SP)
|
100% |
9724
359.1 IPS |
|
Image Super-Resolution (HP)
|
100% |
9906
365.8 IPS |
|
Image Super-Resolution (Q)
|
99% |
30781
1.14 KIPS |
|
Text Classification (SP)
|
100% |
6754
9.02 KIPS |
|
Text Classification (HP)
|
100% |
6722
8.97 KIPS |
|
Text Classification (Q)
|
92% |
9743
13.1 KIPS |
|
Machine Translation (SP)
|
100% |
9122
157.1 IPS |
|
Machine Translation (HP)
|
100% |
9229
159.0 IPS |
|
Machine Translation (Q)
|
100% |
10944
188.5 IPS |