| Upload Date | February 28 2025 01:33 PM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen 9 7945HX |
| System Information | |
|---|---|
| Operating System | Fedora Linux 41 (KDE Plasma) |
| Model | Micro Computer (HK) Tech Limited MotherBoard Series |
| Motherboard | Shenzhen Meigao Electronic Equipment Co.,Ltd DRFXL |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7945HX |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 5.46 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.50 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1650
306.9 IPS |
|
|
Image Classification (HP)
|
100% |
1586
294.9 IPS |
|
|
Image Classification (Q)
|
99% |
1529
285.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2953
47.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2959
48.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
1480
24.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
3378
3.94 IPS |
|
|
Pose Estimation (HP)
|
100% |
3364
3.93 IPS |
|
|
Pose Estimation (Q)
|
96% |
5755
6.74 IPS |
|
|
Object Detection (SP)
|
100% |
1777
141.0 IPS |
|
|
Object Detection (HP)
|
100% |
1788
141.8 IPS |
|
|
Object Detection (Q)
|
85% |
1829
147.2 IPS |
|
|
Face Detection (SP)
|
100% |
2737
32.5 IPS |
|
|
Face Detection (HP)
|
100% |
2713
32.2 IPS |
|
|
Face Detection (Q)
|
97% |
3222
38.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
2728
21.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2756
21.2 IPS |
|
|
Depth Estimation (Q)
|
63% |
2747
25.8 IPS |
|
|
Style Transfer (SP)
|
100% |
3525
4.53 IPS |
|
|
Style Transfer (HP)
|
100% |
3526
4.53 IPS |
|
|
Style Transfer (Q)
|
98% |
8234
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1629
60.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1606
59.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2342
86.8 IPS |
|
|
Text Classification (SP)
|
100% |
1547
2.07 KIPS |
|
|
Text Classification (HP)
|
100% |
1607
2.15 KIPS |
|
|
Text Classification (Q)
|
92% |
891
1.20 KIPS |
|
|
Machine Translation (SP)
|
100% |
3487
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3333
57.4 IPS |
|
|
Machine Translation (Q)
|
58% |
842
19.8 IPS |