| Upload Date | December 18 2025 10:47 AM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650M GAMING X AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING X AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 9600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 3.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8677
1.61 KIPS |
|
|
Image Classification (HP)
|
100% |
16392
3.05 KIPS |
|
|
Image Classification (Q)
|
99% |
7708
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14180
229.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21038
341.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
12915
210.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
102809
120.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
317746
370.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
86206
101.0 IPS |
|
|
Object Detection (SP)
|
100% |
10772
854.4 IPS |
|
|
Object Detection (HP)
|
100% |
18294
1.45 KIPS |
|
|
Object Detection (Q)
|
83% |
9756
788.2 IPS |
|
|
Face Detection (SP)
|
100% |
26964
320.4 IPS |
|
|
Face Detection (HP)
|
100% |
46889
557.1 IPS |
|
|
Face Detection (Q)
|
97% |
23553
280.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
50460
388.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104502
805.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
40337
322.5 IPS |
|
|
Style Transfer (SP)
|
100% |
155319
199.7 IPS |
|
|
Style Transfer (HP)
|
100% |
539092
693.0 IPS |
|
|
Style Transfer (Q)
|
98% |
131368
169.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29290
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58185
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22720
841.3 IPS |
|
|
Text Classification (SP)
|
100% |
3562
4.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4440
5.93 KIPS |
|
|
Text Classification (Q)
|
97% |
2257
3.02 KIPS |
|
|
Machine Translation (SP)
|
100% |
4603
79.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4728
81.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1905
35.7 IPS |