| User | rolandrasch |
| Upload Date | January 17 2025 10:57 AM |
| Views | 15 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E26 |
| Motherboard | Micro-Star International Co., Ltd. B650 GAMING PLUS WIFI (MS-7E26) |
| Power Plan | Hchstleistung |
| 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% |
11470
2.13 KIPS |
|
|
Image Classification (HP)
|
99% |
17314
3.23 KIPS |
|
|
Image Classification (Q)
|
100% |
9728
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18436
298.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23253
377.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
16531
268.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
164444
191.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
429188
500.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
152505
178.7 IPS |
|
|
Object Detection (SP)
|
100% |
13981
1.11 KIPS |
|
|
Object Detection (HP)
|
100% |
21501
1.71 KIPS |
|
|
Object Detection (Q)
|
85% |
11762
946.8 IPS |
|
|
Face Detection (SP)
|
100% |
39161
465.3 IPS |
|
|
Face Detection (HP)
|
100% |
51027
606.3 IPS |
|
|
Face Detection (Q)
|
97% |
33043
394.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
65402
503.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
118125
912.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
51812
414.2 IPS |
|
|
Style Transfer (SP)
|
100% |
299354
384.8 IPS |
|
|
Style Transfer (HP)
|
100% |
720523
926.2 IPS |
|
|
Style Transfer (Q)
|
98% |
261114
336.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47937
1.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
61804
2.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34933
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3523
4.70 KIPS |
|
|
Text Classification (HP)
|
99% |
4363
5.82 KIPS |
|
|
Text Classification (Q)
|
97% |
2079
2.78 KIPS |
|
|
Machine Translation (SP)
|
100% |
4722
81.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4890
84.2 IPS |
|
|
Machine Translation (Q)
|
70% |
2462
46.2 IPS |