| User | Poltava |
| Upload Date | August 25 2024 09:41 PM |
| Views | 18 |
| 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% |
10733
2.00 KIPS |
|
|
Image Classification (HP)
|
99% |
15203
2.84 KIPS |
|
|
Image Classification (Q)
|
100% |
9347
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15784
255.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20364
330.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
13794
224.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
186273
217.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
437124
510.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
166609
195.1 IPS |
|
|
Object Detection (SP)
|
100% |
12724
1.01 KIPS |
|
|
Object Detection (HP)
|
100% |
18669
1.48 KIPS |
|
|
Object Detection (Q)
|
89% |
11107
889.2 IPS |
|
|
Face Detection (SP)
|
100% |
32639
387.8 IPS |
|
|
Face Detection (HP)
|
100% |
43568
517.7 IPS |
|
|
Face Detection (Q)
|
97% |
27523
328.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
66031
508.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
114602
882.9 IPS |
|
|
Depth Estimation (Q)
|
70% |
49784
416.8 IPS |
|
|
Style Transfer (SP)
|
100% |
316523
406.9 IPS |
|
|
Style Transfer (HP)
|
100% |
715954
920.4 IPS |
|
|
Style Transfer (Q)
|
98% |
281448
362.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47204
1.74 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58574
2.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34845
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3493
4.66 KIPS |
|
|
Text Classification (HP)
|
99% |
4228
5.64 KIPS |
|
|
Text Classification (Q)
|
97% |
2206
2.95 KIPS |
|
|
Machine Translation (SP)
|
100% |
4369
75.3 IPS |
|
|
Machine Translation (HP)
|
100% |
4371
75.3 IPS |
|
|
Machine Translation (Q)
|
60% |
2045
45.6 IPS |