| Upload Date | June 15 2025 02:47 PM |
| 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% |
13599
2.53 KIPS |
|
|
Image Classification (HP)
|
99% |
19175
3.58 KIPS |
|
|
Image Classification (Q)
|
100% |
11922
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26215
425.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
35618
577.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
24248
394.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
267300
311.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
534205
623.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
238236
279.1 IPS |
|
|
Object Detection (SP)
|
100% |
17768
1.41 KIPS |
|
|
Object Detection (HP)
|
100% |
25631
2.03 KIPS |
|
|
Object Detection (Q)
|
85% |
15366
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
53218
632.3 IPS |
|
|
Face Detection (HP)
|
100% |
71704
852.0 IPS |
|
|
Face Detection (Q)
|
97% |
45253
539.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
85642
659.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
159169
1.23 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65504
523.1 IPS |
|
|
Style Transfer (SP)
|
100% |
403077
518.2 IPS |
|
|
Style Transfer (HP)
|
100% |
907710
1.17 KIPS |
|
|
Style Transfer (Q)
|
98% |
354161
456.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56250
2.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76488
2.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42940
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
3487
4.65 KIPS |
|
|
Text Classification (HP)
|
99% |
4172
5.57 KIPS |
|
|
Text Classification (Q)
|
97% |
2209
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
6705
115.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6552
112.9 IPS |
|
|
Machine Translation (Q)
|
70% |
3000
56.3 IPS |