| Upload Date | January 29 2026 06:37 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. Pro WS TRX50-SAGE WIFI |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen Threadripper 7970X |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | AuthenticAMD Family 25 Model 24 Stepping 1 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12569
2.34 KIPS |
|
|
Image Classification (HP)
|
99% |
17446
3.25 KIPS |
|
|
Image Classification (Q)
|
100% |
11023
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20567
333.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
26275
425.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
19132
311.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
259005
302.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
503203
587.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
228890
268.2 IPS |
|
|
Object Detection (SP)
|
100% |
15624
1.24 KIPS |
|
|
Object Detection (HP)
|
100% |
21801
1.73 KIPS |
|
|
Object Detection (Q)
|
85% |
13624
1.10 KIPS |
|
|
Face Detection (SP)
|
100% |
44926
533.8 IPS |
|
|
Face Detection (HP)
|
100% |
58338
693.2 IPS |
|
|
Face Detection (Q)
|
97% |
39169
467.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
77132
594.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
149972
1.16 KIPS |
|
|
Depth Estimation (Q)
|
78% |
59941
478.7 IPS |
|
|
Style Transfer (SP)
|
100% |
388014
498.8 IPS |
|
|
Style Transfer (HP)
|
100% |
866991
1.11 KIPS |
|
|
Style Transfer (Q)
|
98% |
338457
436.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
53005
1.96 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
71160
2.63 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40497
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
3567
4.76 KIPS |
|
|
Text Classification (HP)
|
99% |
4361
5.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2210
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5380
92.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5324
91.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2630
49.3 IPS |