| User | genevera |
| Upload Date | June 11 2025 09:37 PM |
| Views | 7 |
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD Ryzen Threadripper 7960X 24-Cores |
| System Information | |
|---|---|
| Operating System | Garuda Linux |
| Model | Gigabyte Technology Co., Ltd. TRX50 AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. TRX50 AI TOP |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 7960X 24-Cores |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 5.67 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 188.19 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
958
178.1 IPS |
|
|
Image Classification (HP)
|
100% |
948
176.2 IPS |
|
|
Image Classification (Q)
|
99% |
1520
283.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2180
35.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
2012
32.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
1488
24.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
2465
2.88 IPS |
|
|
Pose Estimation (HP)
|
100% |
2470
2.88 IPS |
|
|
Pose Estimation (Q)
|
96% |
3777
4.43 IPS |
|
|
Object Detection (SP)
|
100% |
1105
87.6 IPS |
|
|
Object Detection (HP)
|
100% |
1150
91.2 IPS |
|
|
Object Detection (Q)
|
85% |
1790
144.1 IPS |
|
|
Face Detection (SP)
|
100% |
1310
15.6 IPS |
|
|
Face Detection (HP)
|
100% |
1347
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
2368
28.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
1408
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1394
10.7 IPS |
|
|
Depth Estimation (Q)
|
63% |
1778
16.7 IPS |
|
|
Style Transfer (SP)
|
100% |
3278
4.21 IPS |
|
|
Style Transfer (HP)
|
100% |
3262
4.19 IPS |
|
|
Style Transfer (Q)
|
98% |
5279
6.81 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
637
23.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
650
24.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1347
49.9 IPS |
|
|
Text Classification (SP)
|
100% |
1043
1.39 KIPS |
|
|
Text Classification (HP)
|
100% |
1009
1.35 KIPS |
|
|
Text Classification (Q)
|
92% |
659
885.8 IPS |
|
|
Machine Translation (SP)
|
100% |
2479
42.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2504
43.1 IPS |
|
|
Machine Translation (Q)
|
58% |
687
16.1 IPS |