| User | cjcox |
| Upload Date | April 13 2026 11:07 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 9900X |
| System Information | |
|---|---|
| Operating System | openSUSE Leap 16.0 |
| Model | Micro-Star International Co., Ltd. MS-7E59 |
| Motherboard | Micro-Star International Co., Ltd. MAG X870E TOMAHAWK WIFI (MS-7E59) |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9900X |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 5.66 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.35 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1963
365.0 IPS |
|
|
Image Classification (HP)
|
100% |
2076
386.1 IPS |
|
|
Image Classification (Q)
|
99% |
1907
355.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3272
53.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
3215
52.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
1705
27.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
3933
4.59 IPS |
|
|
Pose Estimation (HP)
|
100% |
3901
4.55 IPS |
|
|
Pose Estimation (Q)
|
96% |
5769
6.76 IPS |
|
|
Object Detection (SP)
|
100% |
2144
170.1 IPS |
|
|
Object Detection (HP)
|
100% |
2159
171.2 IPS |
|
|
Object Detection (Q)
|
85% |
2076
167.1 IPS |
|
|
Face Detection (SP)
|
100% |
3821
45.4 IPS |
|
|
Face Detection (HP)
|
100% |
3782
44.9 IPS |
|
|
Face Detection (Q)
|
97% |
4019
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3309
25.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
3325
25.6 IPS |
|
|
Depth Estimation (Q)
|
63% |
3232
30.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4135
5.32 IPS |
|
|
Style Transfer (HP)
|
100% |
4215
5.42 IPS |
|
|
Style Transfer (Q)
|
98% |
8927
11.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2299
84.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2276
84.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2739
101.5 IPS |
|
|
Text Classification (SP)
|
100% |
1703
2.27 KIPS |
|
|
Text Classification (HP)
|
100% |
1867
2.49 KIPS |
|
|
Text Classification (Q)
|
92% |
1028
1.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4036
69.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3931
67.7 IPS |
|
|
Machine Translation (Q)
|
58% |
978
23.0 IPS |