| User | Nghayward |
| Upload Date | November 28 2025 11:55 AM |
| Views | 10 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 GAMING X V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 GAMING X V2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800XT 8-Core Processor |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8780
1.63 KIPS |
|
|
Image Classification (HP)
|
99% |
14145
2.64 KIPS |
|
|
Image Classification (Q)
|
99% |
7706
1.44 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14570
236.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
19159
310.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
13135
213.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
112171
130.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
345251
402.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
99296
116.3 IPS |
|
|
Object Detection (SP)
|
100% |
10236
811.9 IPS |
|
|
Object Detection (HP)
|
100% |
16914
1.34 KIPS |
|
|
Object Detection (Q)
|
85% |
8786
707.3 IPS |
|
|
Face Detection (SP)
|
100% |
25722
305.6 IPS |
|
|
Face Detection (HP)
|
100% |
38708
459.9 IPS |
|
|
Face Detection (Q)
|
97% |
22165
264.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
47768
368.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
91258
703.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
38211
306.0 IPS |
|
|
Style Transfer (SP)
|
100% |
192843
247.9 IPS |
|
|
Style Transfer (HP)
|
100% |
454872
584.7 IPS |
|
|
Style Transfer (Q)
|
98% |
174192
224.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32385
1.20 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
48774
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25353
938.8 IPS |
|
|
Text Classification (SP)
|
100% |
3095
4.13 KIPS |
|
|
Text Classification (HP)
|
99% |
3755
5.01 KIPS |
|
|
Text Classification (Q)
|
97% |
1920
2.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
4140
71.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4463
76.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2017
37.8 IPS |