| User | aeonsim |
| Upload Date | November 14 2025 11:13 PM |
| Views | 2 |
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| 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% |
14709
2.74 KIPS |
|
|
Image Classification (HP)
|
100% |
17233
3.20 KIPS |
|
|
Image Classification (Q)
|
99% |
13976
2.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20136
326.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
24170
391.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
26708
434.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
198956
232.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
630528
735.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
184566
216.2 IPS |
|
|
Object Detection (SP)
|
100% |
15199
1.21 KIPS |
|
|
Object Detection (HP)
|
99% |
20444
1.62 KIPS |
|
|
Object Detection (Q)
|
87% |
14158
1.14 KIPS |
|
|
Face Detection (SP)
|
100% |
55113
654.9 IPS |
|
|
Face Detection (HP)
|
100% |
66791
793.6 IPS |
|
|
Face Detection (Q)
|
97% |
49261
587.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
83540
643.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
127049
978.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
69869
559.9 IPS |
|
|
Style Transfer (SP)
|
100% |
382529
491.7 IPS |
|
|
Style Transfer (HP)
|
100% |
712153
915.5 IPS |
|
|
Style Transfer (Q)
|
98% |
350728
452.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
47845
1.77 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
79135
2.92 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
40566
1.50 KIPS |
|
|
Text Classification (SP)
|
100% |
4261
5.69 KIPS |
|
|
Text Classification (HP)
|
100% |
4625
6.17 KIPS |
|
|
Text Classification (Q)
|
97% |
2982
3.99 KIPS |
|
|
Machine Translation (SP)
|
100% |
7777
134.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7042
121.3 IPS |
|
|
Machine Translation (Q)
|
70% |
4268
80.1 IPS |