| Upload Date | August 16 2024 03:27 PM |
| Views | 35 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Education (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7D54 |
| Motherboard | Micro-Star International Co., Ltd. MAG X570S TOMAHAWK MAX WIFI (MS-7D54) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5800X3D |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
12696
2.36 KIPS |
|
|
Image Classification (HP)
|
100% |
14020
2.61 KIPS |
|
|
Image Classification (Q)
|
100% |
10935
2.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19988
324.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
18012
292.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
18167
295.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
274269
320.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
379481
442.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
237158
277.9 IPS |
|
|
Object Detection (SP)
|
100% |
15179
1.20 KIPS |
|
|
Object Detection (HP)
|
99% |
16474
1.31 KIPS |
|
|
Object Detection (Q)
|
89% |
13498
1.08 KIPS |
|
|
Face Detection (SP)
|
100% |
40348
479.4 IPS |
|
|
Face Detection (HP)
|
100% |
44284
526.2 IPS |
|
|
Face Detection (Q)
|
97% |
34789
414.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
71620
551.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
88031
678.2 IPS |
|
|
Depth Estimation (Q)
|
73% |
54426
446.0 IPS |
|
|
Style Transfer (SP)
|
100% |
445591
572.8 IPS |
|
|
Style Transfer (HP)
|
100% |
616969
793.1 IPS |
|
|
Style Transfer (Q)
|
98% |
394153
508.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49309
1.82 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54754
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
38188
1.41 KIPS |
|
|
Text Classification (SP)
|
100% |
3634
4.85 KIPS |
|
|
Text Classification (HP)
|
100% |
3572
4.77 KIPS |
|
|
Text Classification (Q)
|
97% |
2454
3.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
4333
74.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4393
75.7 IPS |
|
|
Machine Translation (Q)
|
60% |
2200
49.1 IPS |