| User | edwardhchan |
| Upload Date | November 03 2025 06:25 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B850 AORUS ELITE WIFI7 |
| Motherboard | Gigabyte Technology Co., Ltd. B850 AORUS ELITE WIFI7 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
14991
2.79 KIPS |
|
|
Image Classification (HP)
|
100% |
22752
4.23 KIPS |
|
|
Image Classification (Q)
|
100% |
13009
2.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
31025
502.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
46439
752.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
28161
457.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
239688
279.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
770348
898.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
203754
238.7 IPS |
|
|
Object Detection (SP)
|
100% |
20281
1.61 KIPS |
|
|
Object Detection (HP)
|
100% |
32209
2.55 KIPS |
|
|
Object Detection (Q)
|
86% |
16928
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
58862
699.4 IPS |
|
|
Face Detection (HP)
|
100% |
90682
1.08 KIPS |
|
|
Face Detection (Q)
|
97% |
48950
583.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
91913
708.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
171123
1.32 KIPS |
|
|
Depth Estimation (Q)
|
78% |
68254
545.0 IPS |
|
|
Style Transfer (SP)
|
100% |
350315
450.3 IPS |
|
|
Style Transfer (HP)
|
100% |
1171834
1.51 KIPS |
|
|
Style Transfer (Q)
|
98% |
302796
390.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
56994
2.10 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
91012
3.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42813
1.59 KIPS |
|
|
Text Classification (SP)
|
100% |
4038
5.39 KIPS |
|
|
Text Classification (HP)
|
100% |
5069
6.77 KIPS |
|
|
Text Classification (Q)
|
97% |
2379
3.19 KIPS |
|
|
Machine Translation (SP)
|
100% |
7792
134.2 IPS |
|
|
Machine Translation (HP)
|
100% |
7755
133.6 IPS |
|
|
Machine Translation (Q)
|
70% |
3238
60.7 IPS |