| User | aeonsim |
| Upload Date | September 08 2024 08:29 AM |
| Views | 14 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 Ti |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Gigabyte Technology Co., Ltd. B650 GAMING X AX |
| Motherboard | Gigabyte Technology Co., Ltd. B650 GAMING X AX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10162
1.89 KIPS |
|
|
Image Classification (HP)
|
99% |
15285
2.85 KIPS |
|
|
Image Classification (Q)
|
100% |
9283
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17003
275.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21121
342.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16055
261.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
180721
210.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
430041
501.8 IPS |
|
|
Pose Estimation (Q)
|
97% |
164346
192.4 IPS |
|
|
Object Detection (SP)
|
100% |
12655
1.00 KIPS |
|
|
Object Detection (HP)
|
100% |
18968
1.50 KIPS |
|
|
Object Detection (Q)
|
89% |
10470
838.2 IPS |
|
|
Face Detection (SP)
|
100% |
33348
396.3 IPS |
|
|
Face Detection (HP)
|
100% |
44405
527.6 IPS |
|
|
Face Detection (Q)
|
97% |
27995
333.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
64389
496.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
112221
867.0 IPS |
|
|
Depth Estimation (Q)
|
76% |
50686
408.3 IPS |
|
|
Style Transfer (SP)
|
100% |
309299
397.6 IPS |
|
|
Style Transfer (HP)
|
100% |
708056
910.2 IPS |
|
|
Style Transfer (Q)
|
98% |
275586
355.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45786
1.69 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
56233
2.08 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33715
1.25 KIPS |
|
|
Text Classification (SP)
|
100% |
3527
4.71 KIPS |
|
|
Text Classification (HP)
|
99% |
4336
5.79 KIPS |
|
|
Text Classification (Q)
|
97% |
2210
2.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
4530
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
4530
78.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2072
46.2 IPS |