| Upload Date | November 24 2025 04:34 PM |
| Views | 5 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 4070 SUPER |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME X870-P WIFI |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 8700G |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 117 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10439
1.94 KIPS |
|
|
Image Classification (HP)
|
99% |
14417
2.69 KIPS |
|
|
Image Classification (Q)
|
100% |
9379
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18724
303.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
24111
390.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
17136
278.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
167642
195.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
433156
505.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
150727
176.6 IPS |
|
|
Object Detection (SP)
|
100% |
13073
1.04 KIPS |
|
|
Object Detection (HP)
|
100% |
18909
1.50 KIPS |
|
|
Object Detection (Q)
|
85% |
11232
904.2 IPS |
|
|
Face Detection (SP)
|
100% |
37496
445.5 IPS |
|
|
Face Detection (HP)
|
100% |
50026
594.4 IPS |
|
|
Face Detection (Q)
|
97% |
32451
387.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
70142
540.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
117781
910.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
54930
439.2 IPS |
|
|
Style Transfer (SP)
|
100% |
297312
382.2 IPS |
|
|
Style Transfer (HP)
|
100% |
671563
863.3 IPS |
|
|
Style Transfer (Q)
|
98% |
262586
338.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
44417
1.64 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
54812
2.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33156
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
99% |
3557
4.75 KIPS |
|
|
Text Classification (Q)
|
97% |
1962
2.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4973
85.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4998
86.1 IPS |
|
|
Machine Translation (Q)
|
70% |
2514
47.1 IPS |