| Upload Date | June 26 2025 07:45 PM |
| Views | 10 |
| 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 | Smart Game Boost Power Plan |
| 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% |
13420
2.50 KIPS |
|
|
Image Classification (HP)
|
99% |
19771
3.69 KIPS |
|
|
Image Classification (Q)
|
100% |
12141
2.26 KIPS |
|
|
Image Segmentation (SP)
|
100% |
26271
425.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
34521
559.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
23872
388.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
265133
309.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
527904
616.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
232507
272.4 IPS |
|
|
Object Detection (SP)
|
100% |
17535
1.39 KIPS |
|
|
Object Detection (HP)
|
100% |
25144
1.99 KIPS |
|
|
Object Detection (Q)
|
85% |
15172
1.22 KIPS |
|
|
Face Detection (SP)
|
100% |
52445
623.2 IPS |
|
|
Face Detection (HP)
|
100% |
70351
835.9 IPS |
|
|
Face Detection (Q)
|
97% |
44825
534.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
85301
657.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
155497
1.20 KIPS |
|
|
Depth Estimation (Q)
|
78% |
65341
521.8 IPS |
|
|
Style Transfer (SP)
|
100% |
399833
514.0 IPS |
|
|
Style Transfer (HP)
|
100% |
903095
1.16 KIPS |
|
|
Style Transfer (Q)
|
98% |
353849
456.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56742
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77785
2.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
43718
1.62 KIPS |
|
|
Text Classification (SP)
|
100% |
3652
4.87 KIPS |
|
|
Text Classification (HP)
|
99% |
4403
5.88 KIPS |
|
|
Text Classification (Q)
|
97% |
2277
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
6717
115.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6568
113.1 IPS |
|
|
Machine Translation (Q)
|
70% |
3000
56.3 IPS |