| User | Buzzn |
| Upload Date | October 15 2024 09:33 PM |
| Views | 3 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670 GAMING X AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. X670 GAMING X AX V2 |
| Power Plan | Fr AMD Ryzen ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 7600X |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8675
1.61 KIPS |
|
|
Image Classification (HP)
|
99% |
13320
2.48 KIPS |
|
|
Image Classification (Q)
|
100% |
7632
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12006
194.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15193
246.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
11180
181.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
108025
126.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
343713
401.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
96033
112.5 IPS |
|
|
Object Detection (SP)
|
100% |
10236
811.9 IPS |
|
|
Object Detection (HP)
|
100% |
16679
1.32 KIPS |
|
|
Object Detection (Q)
|
89% |
8283
663.3 IPS |
|
|
Face Detection (SP)
|
100% |
20432
242.8 IPS |
|
|
Face Detection (HP)
|
100% |
31128
369.9 IPS |
|
|
Face Detection (Q)
|
97% |
17294
206.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
46605
359.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
92384
711.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
37762
303.4 IPS |
|
|
Style Transfer (SP)
|
100% |
193116
248.3 IPS |
|
|
Style Transfer (HP)
|
100% |
483062
621.0 IPS |
|
|
Style Transfer (Q)
|
98% |
174591
225.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
34619
1.28 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54204
2.00 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25991
962.4 IPS |
|
|
Text Classification (SP)
|
100% |
3337
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4042
5.39 KIPS |
|
|
Text Classification (Q)
|
97% |
2083
2.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
3350
57.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3702
63.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1528
34.1 IPS |