| Upload Date | August 13 2025 11:33 AM |
| Views | 4 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2 |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS ELITE V2 |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700 |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13390
2.49 KIPS |
|
|
Image Classification (HP)
|
100% |
16286
3.03 KIPS |
|
|
Image Classification (Q)
|
100% |
11521
2.14 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21919
355.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
25051
406.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
20555
334.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
369895
431.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
774092
903.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
301531
353.2 IPS |
|
|
Object Detection (SP)
|
100% |
17959
1.42 KIPS |
|
|
Object Detection (HP)
|
100% |
21754
1.73 KIPS |
|
|
Object Detection (Q)
|
85% |
15402
1.24 KIPS |
|
|
Face Detection (SP)
|
100% |
52802
627.4 IPS |
|
|
Face Detection (HP)
|
100% |
64042
761.0 IPS |
|
|
Face Detection (Q)
|
97% |
43703
521.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
96045
740.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
161214
1.24 KIPS |
|
|
Depth Estimation (Q)
|
77% |
70088
561.4 IPS |
|
|
Style Transfer (SP)
|
100% |
521999
671.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1251064
1.61 KIPS |
|
|
Style Transfer (Q)
|
98% |
447432
577.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
55075
2.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
68169
2.52 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42461
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
2941
3.93 KIPS |
|
|
Text Classification (HP)
|
100% |
3290
4.39 KIPS |
|
|
Text Classification (Q)
|
97% |
1952
2.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
4891
84.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4883
84.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2522
47.3 IPS |