| User | Mackai |
| Upload Date | August 16 2024 03:39 PM |
| Views | 12 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7800 XT |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670E AORUS MASTER |
| Motherboard | Gigabyte Technology Co., Ltd. X670E AORUS MASTER |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
11285
2.10 KIPS |
|
|
Image Classification (HP)
|
100% |
12748
2.37 KIPS |
|
|
Image Classification (Q)
|
100% |
9548
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12649
205.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
13028
211.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
13515
219.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
180057
210.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
269437
314.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
160336
187.9 IPS |
|
|
Object Detection (SP)
|
100% |
12692
1.01 KIPS |
|
|
Object Detection (HP)
|
99% |
12349
979.5 IPS |
|
|
Object Detection (Q)
|
89% |
11570
926.5 IPS |
|
|
Face Detection (SP)
|
100% |
32345
384.3 IPS |
|
|
Face Detection (HP)
|
100% |
33682
400.2 IPS |
|
|
Face Detection (Q)
|
97% |
27820
331.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
65921
507.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
74429
573.4 IPS |
|
|
Depth Estimation (Q)
|
73% |
51754
424.1 IPS |
|
|
Style Transfer (SP)
|
100% |
319964
411.3 IPS |
|
|
Style Transfer (HP)
|
100% |
461311
593.0 IPS |
|
|
Style Transfer (Q)
|
98% |
280949
362.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
37514
1.39 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
52420
1.94 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30264
1.12 KIPS |
|
|
Text Classification (SP)
|
100% |
3647
4.87 KIPS |
|
|
Text Classification (HP)
|
100% |
3633
4.85 KIPS |
|
|
Text Classification (Q)
|
97% |
2334
3.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
3443
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3379
58.2 IPS |
|
|
Machine Translation (Q)
|
60% |
2295
51.2 IPS |