| User | aeonsim |
| Upload Date | August 16 2024 05:57 AM |
| Views | 12 |
| 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% |
10671
1.98 KIPS |
|
|
Image Classification (HP)
|
99% |
15437
2.88 KIPS |
|
|
Image Classification (Q)
|
100% |
9307
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17116
277.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
21160
343.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
15967
259.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
182405
212.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
386573
451.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
163400
191.3 IPS |
|
|
Object Detection (SP)
|
100% |
12887
1.02 KIPS |
|
|
Object Detection (HP)
|
100% |
19264
1.53 KIPS |
|
|
Object Detection (Q)
|
89% |
10976
878.7 IPS |
|
|
Face Detection (SP)
|
100% |
32452
385.6 IPS |
|
|
Face Detection (HP)
|
100% |
44799
532.3 IPS |
|
|
Face Detection (Q)
|
97% |
27767
331.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
63571
489.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
108240
833.9 IPS |
|
|
Depth Estimation (Q)
|
75% |
49590
401.9 IPS |
|
|
Style Transfer (SP)
|
100% |
309967
398.5 IPS |
|
|
Style Transfer (HP)
|
100% |
705174
906.5 IPS |
|
|
Style Transfer (Q)
|
98% |
277163
357.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47361
1.75 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59167
2.18 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
34779
1.29 KIPS |
|
|
Text Classification (SP)
|
100% |
3630
4.85 KIPS |
|
|
Text Classification (HP)
|
99% |
4477
5.98 KIPS |
|
|
Text Classification (Q)
|
97% |
2215
2.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4389
75.6 IPS |
|
|
Machine Translation (HP)
|
100% |
4419
76.1 IPS |
|
|
Machine Translation (Q)
|
60% |
2038
45.5 IPS |