| Upload Date | August 16 2024 08:27 AM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670E AORUS PRO X |
| Motherboard | Gigabyte Technology Co., Ltd. X670E AORUS PRO X |
| Power Plan | Ultimate Performance |
| 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% |
12835
2.39 KIPS |
|
|
Image Classification (HP)
|
99% |
16661
3.11 KIPS |
|
|
Image Classification (Q)
|
100% |
10734
2.00 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21921
355.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
26607
431.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
20640
335.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
322520
376.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
527313
615.3 IPS |
|
|
Pose Estimation (Q)
|
97% |
278668
326.3 IPS |
|
|
Object Detection (SP)
|
100% |
18584
1.47 KIPS |
|
|
Object Detection (HP)
|
100% |
24007
1.90 KIPS |
|
|
Object Detection (Q)
|
89% |
15743
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
48715
578.8 IPS |
|
|
Face Detection (HP)
|
100% |
59604
708.2 IPS |
|
|
Face Detection (Q)
|
97% |
41206
491.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
91833
707.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
153353
1.18 KIPS |
|
|
Depth Estimation (Q)
|
75% |
67014
541.0 IPS |
|
|
Style Transfer (SP)
|
100% |
566309
728.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1058611
1.36 KIPS |
|
|
Style Transfer (Q)
|
98% |
481820
621.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57368
2.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
74479
2.75 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42774
1.58 KIPS |
|
|
Text Classification (SP)
|
100% |
3330
4.45 KIPS |
|
|
Text Classification (HP)
|
99% |
4000
5.34 KIPS |
|
|
Text Classification (Q)
|
97% |
2091
2.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
4988
85.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4922
84.8 IPS |
|
|
Machine Translation (Q)
|
60% |
2111
47.1 IPS |