| User | thomasburkitt |
| Upload Date | March 03 2026 10:20 AM |
| Views | 6 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ROG STRIX X670E-E GAMING WIFI |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10227
1.90 KIPS |
|
|
Image Classification (HP)
|
99% |
14872
2.77 KIPS |
|
|
Image Classification (Q)
|
100% |
6921
1.29 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19326
313.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
28327
459.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13621
221.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
147356
171.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
387715
452.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
115092
134.8 IPS |
|
|
Object Detection (SP)
|
100% |
13426
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
19832
1.57 KIPS |
|
|
Object Detection (Q)
|
85% |
9013
725.0 IPS |
|
|
Face Detection (SP)
|
100% |
37001
439.7 IPS |
|
|
Face Detection (HP)
|
100% |
53245
632.7 IPS |
|
|
Face Detection (Q)
|
97% |
24456
291.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
67532
520.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
116317
896.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
39796
318.8 IPS |
|
|
Style Transfer (SP)
|
100% |
270363
347.6 IPS |
|
|
Style Transfer (HP)
|
100% |
648622
833.8 IPS |
|
|
Style Transfer (Q)
|
98% |
194003
250.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
38568
1.42 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49173
1.82 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
21464
794.8 IPS |
|
|
Text Classification (SP)
|
100% |
2817
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3456
4.61 KIPS |
|
|
Text Classification (Q)
|
97% |
1433
1.92 KIPS |
|
|
Machine Translation (SP)
|
100% |
5180
89.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5047
86.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1698
31.8 IPS |