| User | SebsDaBaws |
| Upload Date | November 27 2025 05:36 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550I AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B550I AORUS PRO AX |
| Power Plan | Balanceret |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9630
1.79 KIPS |
|
|
Image Classification (HP)
|
100% |
15194
2.83 KIPS |
|
|
Image Classification (Q)
|
100% |
8634
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17277
280.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
23508
381.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15247
247.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
165604
193.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
468853
547.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
143046
167.8 IPS |
|
|
Object Detection (SP)
|
100% |
13181
1.05 KIPS |
|
|
Object Detection (HP)
|
100% |
20780
1.65 KIPS |
|
|
Object Detection (Q)
|
89% |
11641
932.1 IPS |
|
|
Face Detection (SP)
|
100% |
34090
405.1 IPS |
|
|
Face Detection (HP)
|
100% |
49002
582.2 IPS |
|
|
Face Detection (Q)
|
97% |
28412
338.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
67060
516.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
124135
956.4 IPS |
|
|
Depth Estimation (Q)
|
75% |
52239
422.8 IPS |
|
|
Style Transfer (SP)
|
100% |
229381
294.9 IPS |
|
|
Style Transfer (HP)
|
100% |
735296
945.2 IPS |
|
|
Style Transfer (Q)
|
98% |
196760
253.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
39339
1.45 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
67863
2.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31659
1.17 KIPS |
|
|
Text Classification (SP)
|
100% |
3019
4.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3557
4.75 KIPS |
|
|
Text Classification (Q)
|
97% |
2158
2.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
4801
82.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4867
83.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2196
49.0 IPS |