| Upload Date | September 30 2025 02:56 AM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (64-bit) |
| Model | Gigabyte Technology Co., Ltd. TRX50 AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. TRX50 AI TOP |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 7960X 24-Cores |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13400
2.49 KIPS |
|
|
Image Classification (HP)
|
99% |
19033
3.55 KIPS |
|
|
Image Classification (Q)
|
100% |
11653
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
25881
419.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
34764
563.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
23662
384.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
267559
312.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
528562
616.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
233472
273.6 IPS |
|
|
Object Detection (SP)
|
100% |
17082
1.35 KIPS |
|
|
Object Detection (HP)
|
100% |
24571
1.95 KIPS |
|
|
Object Detection (Q)
|
85% |
14707
1.18 KIPS |
|
|
Face Detection (SP)
|
100% |
51127
607.5 IPS |
|
|
Face Detection (HP)
|
100% |
67955
807.5 IPS |
|
|
Face Detection (Q)
|
97% |
43786
522.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
79091
609.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
154179
1.19 KIPS |
|
|
Depth Estimation (Q)
|
78% |
61420
490.5 IPS |
|
|
Style Transfer (SP)
|
100% |
397918
511.5 IPS |
|
|
Style Transfer (HP)
|
100% |
919785
1.18 KIPS |
|
|
Style Transfer (Q)
|
98% |
351671
453.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54121
2.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
72069
2.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40783
1.51 KIPS |
|
|
Text Classification (SP)
|
100% |
3596
4.80 KIPS |
|
|
Text Classification (HP)
|
99% |
4447
5.94 KIPS |
|
|
Text Classification (Q)
|
97% |
2226
2.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
6503
112.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6388
110.0 IPS |
|
|
Machine Translation (Q)
|
70% |
2929
54.9 IPS |