X570 Steel Legend
Geekbench AI Score
3647
Single Precision Score
1514
Half Precision Score
5146
Quantized Score
Geekbench AI 1.5.0 Corporate for Windows AVX2
Result Information
| User | magnum7385 |
| Upload Date | September 28 2025 12:20 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | X570 Steel Legend |
| Motherboard | ASRock X570 Steel Legend |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2830
526.3 IPS |
|
|
Image Classification (HP)
|
100% |
534
99.3 IPS |
|
|
Image Classification (Q)
|
96% |
5430
1.01 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1848
30.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
731
11.9 IPS |
|
|
Image Segmentation (Q)
|
97% |
5337
86.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
7233
8.44 IPS |
|
|
Pose Estimation (HP)
|
100% |
5684
6.63 IPS |
|
|
Pose Estimation (Q)
|
86% |
18337
21.7 IPS |
|
|
Object Detection (SP)
|
100% |
2784
220.8 IPS |
|
|
Object Detection (HP)
|
100% |
682
54.1 IPS |
|
|
Object Detection (Q)
|
58% |
3777
412.6 IPS |
|
|
Face Detection (SP)
|
100% |
5982
71.1 IPS |
|
|
Face Detection (HP)
|
100% |
1387
16.5 IPS |
|
|
Face Detection (Q)
|
96% |
8760
104.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
8180
63.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2203
17.0 IPS |
|
|
Depth Estimation (Q)
|
78% |
13665
109.0 IPS |
|
|
Style Transfer (SP)
|
100% |
16792
21.6 IPS |
|
|
Style Transfer (HP)
|
100% |
13947
17.9 IPS |
|
|
Style Transfer (Q)
|
87% |
19061
24.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2036
75.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1903
70.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
3488
129.2 IPS |
|
|
Text Classification (SP)
|
100% |
1345
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
626
834.9 IPS |
|
|
Text Classification (Q)
|
97% |
375
501.9 IPS |
|
|
Machine Translation (SP)
|
100% |
1758
30.3 IPS |
|
|
Machine Translation (HP)
|
100% |
829
14.3 IPS |
|
|
Machine Translation (Q)
|
68% |
2177
42.1 IPS |
