| Upload Date | February 07 2026 08:04 AM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E47 |
| Motherboard | Micro-Star International Co., Ltd. PRO X870-P WIFI (MS-7E47) |
| Power Plan | Driver Booster Power Plan |
| 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% |
12249
2.28 KIPS |
|
|
Image Classification (HP)
|
100% |
15073
2.80 KIPS |
|
|
Image Classification (Q)
|
99% |
11684
2.18 KIPS |
|
|
Image Segmentation (SP)
|
100% |
14901
241.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
17144
277.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
18378
298.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
186408
217.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
539539
629.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
168121
196.9 IPS |
|
|
Object Detection (SP)
|
100% |
11504
912.5 IPS |
|
|
Object Detection (HP)
|
99% |
16000
1.27 KIPS |
|
|
Object Detection (Q)
|
87% |
11879
954.0 IPS |
|
|
Face Detection (SP)
|
100% |
40710
483.7 IPS |
|
|
Face Detection (HP)
|
100% |
49568
589.0 IPS |
|
|
Face Detection (Q)
|
97% |
38296
456.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
71909
554.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
110543
851.7 IPS |
|
|
Depth Estimation (Q)
|
77% |
62210
498.5 IPS |
|
|
Style Transfer (SP)
|
100% |
314088
403.8 IPS |
|
|
Style Transfer (HP)
|
100% |
568012
730.2 IPS |
|
|
Style Transfer (Q)
|
98% |
291232
375.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
43193
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
70396
2.60 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
36942
1.37 KIPS |
|
|
Text Classification (SP)
|
100% |
3719
4.96 KIPS |
|
|
Text Classification (HP)
|
100% |
4184
5.59 KIPS |
|
|
Text Classification (Q)
|
97% |
2553
3.42 KIPS |
|
|
Machine Translation (SP)
|
100% |
5660
97.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5705
98.3 IPS |
|
|
Machine Translation (Q)
|
70% |
3248
60.9 IPS |