| Upload Date | June 20 2025 12:14 AM |
| Views | 8 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Gigabyte Technology Co., Ltd. TRX50 AI TOP |
| Motherboard | Gigabyte Technology Co., Ltd. TRX50 AI TOP |
| Power Plan | Ultimate Performance |
| 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 | 4.20 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13437
2.50 KIPS |
|
|
Image Classification (HP)
|
99% |
18840
3.51 KIPS |
|
|
Image Classification (Q)
|
100% |
11787
2.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26284
426.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
35650
577.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
24388
396.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
265118
309.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
534189
623.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
234728
275.0 IPS |
|
|
Object Detection (SP)
|
100% |
17598
1.40 KIPS |
|
|
Object Detection (HP)
|
100% |
25091
1.99 KIPS |
|
|
Object Detection (Q)
|
85% |
15166
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
53533
636.1 IPS |
|
|
Face Detection (HP)
|
100% |
71918
854.5 IPS |
|
|
Face Detection (Q)
|
97% |
45240
539.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
85714
660.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
157780
1.22 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65572
523.6 IPS |
|
|
Style Transfer (SP)
|
100% |
401173
515.7 IPS |
|
|
Style Transfer (HP)
|
100% |
900294
1.16 KIPS |
|
|
Style Transfer (Q)
|
98% |
352043
453.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56030
2.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76226
2.81 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43105
1.60 KIPS |
|
|
Text Classification (SP)
|
100% |
3563
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4302
5.74 KIPS |
|
|
Text Classification (Q)
|
97% |
2243
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
6676
115.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6623
114.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2995
56.2 IPS |