| User | mta1124 |
| Upload Date | August 18 2024 06:23 AM |
| Views | 16 |
| 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. X670E AORUS PRO X |
| Motherboard | Gigabyte Technology Co., Ltd. X670E AORUS PRO X |
| Power Plan | Hybred Low Latency (HP) |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13088
2.43 KIPS |
|
|
Image Classification (HP)
|
99% |
17295
3.23 KIPS |
|
|
Image Classification (Q)
|
100% |
11023
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23548
381.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
28050
454.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
22256
361.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
315468
368.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
524560
612.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
272556
319.2 IPS |
|
|
Object Detection (SP)
|
100% |
18754
1.49 KIPS |
|
|
Object Detection (HP)
|
100% |
24726
1.96 KIPS |
|
|
Object Detection (Q)
|
89% |
15829
1.27 KIPS |
|
|
Face Detection (SP)
|
100% |
50667
602.0 IPS |
|
|
Face Detection (HP)
|
100% |
62252
739.7 IPS |
|
|
Face Detection (Q)
|
97% |
42126
502.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
90502
697.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
152257
1.17 KIPS |
|
|
Depth Estimation (Q)
|
75% |
65600
529.6 IPS |
|
|
Style Transfer (SP)
|
100% |
557678
716.9 IPS |
|
|
Style Transfer (HP)
|
100% |
1064055
1.37 KIPS |
|
|
Style Transfer (Q)
|
98% |
475212
612.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58781
2.17 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
69195
2.56 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
42439
1.57 KIPS |
|
|
Text Classification (SP)
|
100% |
3366
4.49 KIPS |
|
|
Text Classification (HP)
|
99% |
4142
5.53 KIPS |
|
|
Text Classification (Q)
|
97% |
2029
2.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
5296
91.2 IPS |
|
|
Machine Translation (HP)
|
100% |
5215
89.8 IPS |
|
|
Machine Translation (Q)
|
60% |
1606
35.8 IPS |