| User | Intranetusa |
| Upload Date | February 11 2026 04:03 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 GAMING X AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B650 GAMING X AX V2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11873
2.21 KIPS |
|
|
Image Classification (HP)
|
100% |
20164
3.75 KIPS |
|
|
Image Classification (Q)
|
100% |
10725
1.99 KIPS |
|
|
Image Segmentation (SP)
|
100% |
24404
395.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
39103
633.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
22093
359.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
172315
201.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
517627
604.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
148222
173.6 IPS |
|
|
Object Detection (SP)
|
100% |
16618
1.32 KIPS |
|
|
Object Detection (HP)
|
100% |
28052
2.23 KIPS |
|
|
Object Detection (Q)
|
83% |
13900
1.12 KIPS |
|
|
Face Detection (SP)
|
100% |
45961
546.1 IPS |
|
|
Face Detection (HP)
|
100% |
70552
838.3 IPS |
|
|
Face Detection (Q)
|
97% |
38638
460.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
72396
557.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
137854
1.06 KIPS |
|
|
Depth Estimation (Q)
|
78% |
57125
456.0 IPS |
|
|
Style Transfer (SP)
|
100% |
241873
310.9 IPS |
|
|
Style Transfer (HP)
|
100% |
846260
1.09 KIPS |
|
|
Style Transfer (Q)
|
98% |
208497
268.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42522
1.57 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
77610
2.87 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33860
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3499
4.67 KIPS |
|
|
Text Classification (HP)
|
100% |
4241
5.66 KIPS |
|
|
Text Classification (Q)
|
97% |
2276
3.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
7314
126.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7546
130.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3231
60.6 IPS |