| Upload Date | January 28 2026 04:51 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6650 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. To be filled by O.E.M. |
| Motherboard | Gigabyte Technology Co., Ltd. H61M-DS2 |
| Power Plan | GameTurbo |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1230V2 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 58 Stepping 9 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5384
1.00 KIPS |
|
|
Image Classification (HP)
|
100% |
5268
979.6 IPS |
|
|
Image Classification (Q)
|
99% |
3863
720.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
8056
130.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6482
105.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
7023
114.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
80291
93.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
121330
141.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
66803
78.3 IPS |
|
|
Object Detection (SP)
|
100% |
4333
343.7 IPS |
|
|
Object Detection (HP)
|
100% |
5530
438.6 IPS |
|
|
Object Detection (Q)
|
87% |
3787
304.2 IPS |
|
|
Face Detection (SP)
|
100% |
16082
191.1 IPS |
|
|
Face Detection (HP)
|
100% |
16149
191.9 IPS |
|
|
Face Detection (Q)
|
97% |
13414
159.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
35699
275.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
41157
317.1 IPS |
|
|
Depth Estimation (Q)
|
76% |
26840
215.4 IPS |
|
|
Style Transfer (SP)
|
100% |
149073
191.6 IPS |
|
|
Style Transfer (HP)
|
100% |
184335
237.0 IPS |
|
|
Style Transfer (Q)
|
98% |
122578
158.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
21320
787.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25602
945.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14868
550.5 IPS |
|
|
Text Classification (SP)
|
100% |
1201
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1218
1.63 KIPS |
|
|
Text Classification (Q)
|
97% |
1157
1.55 KIPS |
|
|
Machine Translation (SP)
|
100% |
2346
40.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2511
43.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1251
23.5 IPS |