| User | HdwJunkie |
| Upload Date | September 16 2024 02:04 AM |
| Views | 16 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X670-P WIFI |
| Power Plan | High performance |
| 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 | 64.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9642
1.79 KIPS |
|
|
Image Classification (HP)
|
99% |
14916
2.78 KIPS |
|
|
Image Classification (Q)
|
100% |
8486
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18116
293.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
23405
379.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
16519
268.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
152850
178.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
344226
401.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
131066
153.5 IPS |
|
|
Object Detection (SP)
|
100% |
12401
983.7 IPS |
|
|
Object Detection (HP)
|
100% |
18884
1.50 KIPS |
|
|
Object Detection (Q)
|
88% |
9944
797.5 IPS |
|
|
Face Detection (SP)
|
100% |
30456
361.9 IPS |
|
|
Face Detection (HP)
|
100% |
45184
536.9 IPS |
|
|
Face Detection (Q)
|
97% |
25095
299.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
57146
440.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
102206
787.4 IPS |
|
|
Depth Estimation (Q)
|
76% |
44803
360.4 IPS |
|
|
Style Transfer (SP)
|
100% |
258798
332.7 IPS |
|
|
Style Transfer (HP)
|
100% |
560127
720.1 IPS |
|
|
Style Transfer (Q)
|
98% |
227374
293.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43762
1.62 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
53100
1.96 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
30729
1.14 KIPS |
|
|
Text Classification (SP)
|
100% |
3442
4.59 KIPS |
|
|
Text Classification (HP)
|
99% |
4130
5.51 KIPS |
|
|
Text Classification (Q)
|
97% |
2105
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
4832
83.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4991
86.0 IPS |
|
|
Machine Translation (Q)
|
60% |
2024
45.1 IPS |