| User | Poltava |
| Upload Date | August 25 2024 11:54 PM |
| Views | 21 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550 AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. B550 AORUS MASTER |
| Power Plan | Bitsum Highest Performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| 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 | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10790
2.01 KIPS |
|
|
Image Classification (HP)
|
99% |
15248
2.84 KIPS |
|
|
Image Classification (Q)
|
100% |
9399
1.75 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16738
271.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20426
331.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
15438
251.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
186385
217.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
441342
515.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
167294
195.9 IPS |
|
|
Object Detection (SP)
|
100% |
12909
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
18803
1.49 KIPS |
|
|
Object Detection (Q)
|
89% |
11290
903.9 IPS |
|
|
Face Detection (SP)
|
100% |
33438
397.3 IPS |
|
|
Face Detection (HP)
|
100% |
43761
520.0 IPS |
|
|
Face Detection (Q)
|
97% |
28183
336.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
67766
522.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
116809
899.9 IPS |
|
|
Depth Estimation (Q)
|
70% |
50836
425.6 IPS |
|
|
Style Transfer (SP)
|
100% |
322687
414.8 IPS |
|
|
Style Transfer (HP)
|
100% |
726431
933.8 IPS |
|
|
Style Transfer (Q)
|
98% |
288580
372.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47420
1.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58751
2.17 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
35011
1.30 KIPS |
|
|
Text Classification (SP)
|
100% |
3531
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4256
5.68 KIPS |
|
|
Text Classification (Q)
|
97% |
2243
3.00 KIPS |
|
|
Machine Translation (SP)
|
100% |
4406
75.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4377
75.4 IPS |
|
|
Machine Translation (Q)
|
60% |
2063
46.0 IPS |