| Upload Date | September 01 2024 05:10 AM |
| Views | 18 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4090 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| Motherboard | Gigabyte Technology Co., Ltd. X670 AORUS ELITE AX |
| 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% |
13025
2.42 KIPS |
|
|
Image Classification (HP)
|
99% |
16953
3.16 KIPS |
|
|
Image Classification (Q)
|
100% |
10955
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22556
365.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
27813
450.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
21028
341.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
308923
360.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
524932
612.5 IPS |
|
|
Pose Estimation (Q)
|
97% |
267645
313.4 IPS |
|
|
Object Detection (SP)
|
100% |
18498
1.47 KIPS |
|
|
Object Detection (HP)
|
100% |
23879
1.89 KIPS |
|
|
Object Detection (Q)
|
89% |
15674
1.25 KIPS |
|
|
Face Detection (SP)
|
100% |
49918
593.1 IPS |
|
|
Face Detection (HP)
|
100% |
60874
723.3 IPS |
|
|
Face Detection (Q)
|
97% |
41449
494.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
90325
695.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
152033
1.17 KIPS |
|
|
Depth Estimation (Q)
|
75% |
65833
531.4 IPS |
|
|
Style Transfer (SP)
|
100% |
555452
714.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1067677
1.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
472825
609.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57132
2.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
75321
2.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42349
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3347
4.47 KIPS |
|
|
Text Classification (HP)
|
99% |
4095
5.47 KIPS |
|
|
Text Classification (Q)
|
97% |
2064
2.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
5090
87.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4825
83.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2113
47.1 IPS |