| Upload Date | August 11 2024 10:49 AM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B550I AORUS PRO AX |
| Motherboard | Gigabyte Technology Co., Ltd. B550I AORUS PRO AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6140
1.14 KIPS |
|
|
Image Classification (HP)
|
99% |
10436
1.95 KIPS |
|
|
Image Classification (Q)
|
100% |
5456
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
7640
123.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
8787
142.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
7270
118.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
83388
97.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
223449
260.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
74225
86.9 IPS |
|
|
Object Detection (SP)
|
100% |
7269
576.6 IPS |
|
|
Object Detection (HP)
|
100% |
11205
888.8 IPS |
|
|
Object Detection (Q)
|
89% |
6531
522.7 IPS |
|
|
Face Detection (SP)
|
100% |
14689
174.5 IPS |
|
|
Face Detection (HP)
|
100% |
21452
254.9 IPS |
|
|
Face Detection (Q)
|
97% |
12817
152.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33249
256.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
66658
513.6 IPS |
|
|
Depth Estimation (Q)
|
74% |
27305
221.9 IPS |
|
|
Style Transfer (SP)
|
100% |
136664
175.7 IPS |
|
|
Style Transfer (HP)
|
100% |
318048
408.9 IPS |
|
|
Style Transfer (Q)
|
98% |
124266
160.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
27137
1.00 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
40222
1.49 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
19967
739.3 IPS |
|
|
Text Classification (SP)
|
100% |
2571
3.43 KIPS |
|
|
Text Classification (HP)
|
99% |
2965
3.96 KIPS |
|
|
Text Classification (Q)
|
97% |
1783
2.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
2541
43.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2518
43.4 IPS |
|
|
Machine Translation (Q)
|
60% |
1302
29.0 IPS |