| User | dot-bob |
| Upload Date | September 25 2025 12:24 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. ProArt X670E-CREATOR WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9991
1.86 KIPS |
|
|
Image Classification (HP)
|
99% |
14631
2.73 KIPS |
|
|
Image Classification (Q)
|
100% |
6709
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18989
307.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
28063
454.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
13209
214.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
170846
199.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
369549
431.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
130513
152.9 IPS |
|
|
Object Detection (SP)
|
100% |
13304
1.06 KIPS |
|
|
Object Detection (HP)
|
100% |
19499
1.55 KIPS |
|
|
Object Detection (Q)
|
85% |
8785
706.7 IPS |
|
|
Face Detection (SP)
|
100% |
36352
431.9 IPS |
|
|
Face Detection (HP)
|
100% |
53616
637.1 IPS |
|
|
Face Detection (Q)
|
97% |
23331
278.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
65428
504.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
114337
880.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
38017
304.5 IPS |
|
|
Style Transfer (SP)
|
100% |
279710
359.6 IPS |
|
|
Style Transfer (HP)
|
100% |
663176
852.5 IPS |
|
|
Style Transfer (Q)
|
98% |
194413
250.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
40288
1.49 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58704
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
22499
833.1 IPS |
|
|
Text Classification (SP)
|
100% |
2915
3.89 KIPS |
|
|
Text Classification (HP)
|
99% |
3683
4.92 KIPS |
|
|
Text Classification (Q)
|
97% |
1464
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
5085
87.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4987
85.9 IPS |
|
|
Machine Translation (Q)
|
70% |
1611
30.2 IPS |