| User | sgtheadhole |
| Upload Date | December 25 2024 05:08 AM |
| Views | 17 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 7900 XTX |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Gigabyte Technology Co., Ltd. X670 GAMING X AX V2 |
| Motherboard | Gigabyte Technology Co., Ltd. X670 GAMING X AX V2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
13460
2.50 KIPS |
|
|
Image Classification (HP)
|
100% |
14517
2.70 KIPS |
|
|
Image Classification (Q)
|
99% |
10992
2.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22278
361.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
20087
325.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19927
324.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
273844
319.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
375443
438.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
243815
285.6 IPS |
|
|
Object Detection (SP)
|
100% |
15894
1.26 KIPS |
|
|
Object Detection (HP)
|
99% |
16773
1.33 KIPS |
|
|
Object Detection (Q)
|
87% |
13243
1.06 KIPS |
|
|
Face Detection (SP)
|
100% |
44863
533.1 IPS |
|
|
Face Detection (HP)
|
100% |
49805
591.8 IPS |
|
|
Face Detection (Q)
|
97% |
39360
469.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
72358
557.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
84756
653.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
55471
444.5 IPS |
|
|
Style Transfer (SP)
|
100% |
442934
569.4 IPS |
|
|
Style Transfer (HP)
|
100% |
613248
788.3 IPS |
|
|
Style Transfer (Q)
|
98% |
387936
500.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49945
1.84 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
58297
2.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34765
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3802
5.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3601
4.81 KIPS |
|
|
Text Classification (Q)
|
97% |
2019
2.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
4540
78.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4636
79.9 IPS |
|
|
Machine Translation (Q)
|
70% |
2143
40.2 IPS |