User | Afrosheenix |
Upload Date | July 04 2025 11:57 PM |
Views | 6 |
AI Information | |
---|---|
Framework | TensorFlow Lite |
Backend | CPU |
Device | AMD Ryzen 7 7800X3D |
System Information | |
---|---|
Operating System | Garuda Linux |
Model | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
Motherboard | Gigabyte Technology Co., Ltd. B650 AORUS ELITE AX |
CPU Information | |
---|---|
Name | AMD Ryzen 7 7800X3D |
Topology | 1 Processor, 8 Cores, 16 Threads |
Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
Base Frequency | 5.05 GHz |
Cluster 1 | 0 Cores |
Memory Information | |
---|---|
Size | 62.40 GB |
Workload | Accuracy | Score | |
---|---|---|---|
Image Classification (SP)
|
100% |
1129
210.0 IPS |
|
Image Classification (HP)
|
100% |
293
54.5 IPS |
|
Image Classification (Q)
|
99% |
886
165.2 IPS |
|
Image Segmentation (SP)
|
100% |
1386
22.5 IPS |
|
Image Segmentation (HP)
|
100% |
455
7.38 IPS |
|
Image Segmentation (Q)
|
98% |
895
14.6 IPS |
|
Pose Estimation (SP)
|
100% |
2005
2.34 IPS |
|
Pose Estimation (HP)
|
100% |
2007
2.34 IPS |
|
Pose Estimation (Q)
|
96% |
2077
2.43 IPS |
|
Object Detection (SP)
|
100% |
1087
86.2 IPS |
|
Object Detection (HP)
|
100% |
1227
97.3 IPS |
|
Object Detection (Q)
|
85% |
813
65.4 IPS |
|
Face Detection (SP)
|
100% |
631
7.50 IPS |
|
Face Detection (HP)
|
100% |
3608
42.9 IPS |
|
Face Detection (Q)
|
97% |
1724
20.6 IPS |
|
Depth Estimation (SP)
|
100% |
1905
14.7 IPS |
|
Depth Estimation (HP)
|
99% |
1339
10.3 IPS |
|
Depth Estimation (Q)
|
63% |
907
8.50 IPS |
|
Style Transfer (SP)
|
100% |
3325
4.27 IPS |
|
Style Transfer (HP)
|
100% |
3314
4.26 IPS |
|
Style Transfer (Q)
|
98% |
4439
5.72 IPS |
|
Image Super-Resolution (SP)
|
100% |
412
15.2 IPS |
|
Image Super-Resolution (HP)
|
100% |
375
13.9 IPS |
|
Image Super-Resolution (Q)
|
97% |
1286
47.6 IPS |
|
Text Classification (SP)
|
100% |
1821
2.43 KIPS |
|
Text Classification (HP)
|
100% |
1873
2.50 KIPS |
|
Text Classification (Q)
|
92% |
550
738.6 IPS |
|
Machine Translation (SP)
|
100% |
3580
61.7 IPS |
|
Machine Translation (HP)
|
100% |
3461
59.6 IPS |
|
Machine Translation (Q)
|
58% |
600
14.1 IPS |