User | jsmithla |
Upload Date | August 15 2024 05:15 PM |
Views | 3 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device | AMD Ryzen 9 7950X |
System Information | |
---|---|
Operating System | EndeavourOS |
Model | ASUS System Product Name |
Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-E GAMING WIFI |
CPU Information | |
---|---|
Name | AMD Ryzen 9 7950X |
Topology | 1 Processor, 16 Cores, 32 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 5.88 GHz |
Cluster 1 | 0 Cores |
Memory Information | |
---|---|
Size | 61.94 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1774
329.9 IPS |
|
Image Classification (HP)
|
100% |
1763
327.8 IPS |
|
Image Classification (Q)
|
99% |
1620
302.2 IPS |
|
Image Segmentation (SP)
|
100% |
2959
48.0 IPS |
|
Image Segmentation (HP)
|
100% |
3282
53.2 IPS |
|
Image Segmentation (Q)
|
98% |
1566
25.5 IPS |
|
Pose Estimation (SP)
|
100% |
3850
4.49 IPS |
|
Pose Estimation (HP)
|
100% |
3827
4.47 IPS |
|
Pose Estimation (Q)
|
96% |
6365
7.46 IPS |
|
Object Detection (SP)
|
100% |
1675
132.9 IPS |
|
Object Detection (HP)
|
100% |
1874
148.7 IPS |
|
Object Detection (Q)
|
86% |
1864
149.9 IPS |
|
Face Detection (SP)
|
100% |
2942
35.0 IPS |
|
Face Detection (HP)
|
100% |
2915
34.6 IPS |
|
Face Detection (Q)
|
97% |
3279
39.1 IPS |
|
Depth Estimation (SP)
|
100% |
2915
22.5 IPS |
|
Depth Estimation (HP)
|
100% |
2975
22.9 IPS |
|
Depth Estimation (Q)
|
74% |
3332
27.1 IPS |
|
Style Transfer (SP)
|
100% |
3943
5.07 IPS |
|
Style Transfer (HP)
|
100% |
3919
5.04 IPS |
|
Style Transfer (Q)
|
98% |
8400
10.8 IPS |
|
Image Super-Resolution (SP)
|
100% |
1811
66.9 IPS |
|
Image Super-Resolution (HP)
|
100% |
1818
67.1 IPS |
|
Image Super-Resolution (Q)
|
97% |
2624
97.2 IPS |
|
Text Classification (SP)
|
100% |
1805
2.41 KIPS |
|
Text Classification (HP)
|
100% |
1869
2.50 KIPS |
|
Text Classification (Q)
|
92% |
942
1.27 KIPS |
|
Machine Translation (SP)
|
100% |
3443
59.3 IPS |
|
Machine Translation (HP)
|
100% |
3218
55.4 IPS |
|
Machine Translation (Q)
|
58% |
838
19.7 IPS |