| Upload Date | November 07 2025 10:12 AM |
| Views | 2 |
| 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 WIFI6E |
| Motherboard | Gigabyte Technology Co., Ltd. B650M GAMING WIFI6E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7500F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8317
1.55 KIPS |
|
|
Image Classification (HP)
|
100% |
15339
2.85 KIPS |
|
|
Image Classification (Q)
|
99% |
7514
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13833
224.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20181
327.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
12596
204.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
98467
114.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
318686
371.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
81927
96.0 IPS |
|
|
Object Detection (SP)
|
100% |
11051
876.6 IPS |
|
|
Object Detection (HP)
|
100% |
18181
1.44 KIPS |
|
|
Object Detection (Q)
|
83% |
9476
765.6 IPS |
|
|
Face Detection (SP)
|
100% |
25990
308.8 IPS |
|
|
Face Detection (HP)
|
100% |
44504
528.8 IPS |
|
|
Face Detection (Q)
|
97% |
22819
272.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
48912
376.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
104319
803.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
39055
312.3 IPS |
|
|
Style Transfer (SP)
|
100% |
152292
195.8 IPS |
|
|
Style Transfer (HP)
|
100% |
531813
683.7 IPS |
|
|
Style Transfer (Q)
|
98% |
128821
166.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28516
1.05 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54261
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22384
828.9 IPS |
|
|
Text Classification (SP)
|
100% |
3250
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
3915
5.23 KIPS |
|
|
Text Classification (Q)
|
97% |
2124
2.85 KIPS |
|
|
Machine Translation (SP)
|
100% |
4422
76.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4785
82.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1850
34.7 IPS |