| Upload Date | November 27 2025 07:40 PM |
| Views | 1 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASRock B650 PG Lightning WiFi |
| Motherboard | ASRock B650 PG Lightning WiFi |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 9700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9820
1.83 KIPS |
|
|
Image Classification (HP)
|
100% |
17998
3.35 KIPS |
|
|
Image Classification (Q)
|
100% |
9004
1.67 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16450
266.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24155
391.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
15307
248.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
123932
144.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
400207
467.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
115170
134.9 IPS |
|
|
Object Detection (SP)
|
100% |
11923
945.8 IPS |
|
|
Object Detection (HP)
|
100% |
21479
1.70 KIPS |
|
|
Object Detection (Q)
|
83% |
10394
839.8 IPS |
|
|
Face Detection (SP)
|
100% |
30429
361.6 IPS |
|
|
Face Detection (HP)
|
100% |
49762
591.3 IPS |
|
|
Face Detection (Q)
|
97% |
26726
318.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
55504
427.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
119009
916.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
45053
359.6 IPS |
|
|
Style Transfer (SP)
|
100% |
179167
230.3 IPS |
|
|
Style Transfer (HP)
|
100% |
611085
785.6 IPS |
|
|
Style Transfer (Q)
|
98% |
152600
196.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
35274
1.30 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68036
2.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26454
979.6 IPS |
|
|
Text Classification (SP)
|
100% |
3956
5.28 KIPS |
|
|
Text Classification (HP)
|
100% |
4917
6.56 KIPS |
|
|
Text Classification (Q)
|
97% |
2436
3.26 KIPS |
|
|
Machine Translation (SP)
|
100% |
5014
86.4 IPS |
|
|
Machine Translation (HP)
|
100% |
5554
95.7 IPS |
|
|
Machine Translation (Q)
|
70% |
2026
38.0 IPS |