X570 Steel Legend
Geekbench AI Score
6338
Single Precision Score
6292
Half Precision Score
7963
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | magnum7385 |
| Upload Date | September 28 2025 12:23 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| 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% |
3759
699.1 IPS |
|
|
Image Classification (HP)
|
100% |
4142
770.3 IPS |
|
|
Image Classification (Q)
|
100% |
5864
1.09 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5721
92.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5236
84.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
9031
146.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
10810
12.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
10925
12.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
22107
25.9 IPS |
|
|
Object Detection (SP)
|
100% |
4352
345.2 IPS |
|
|
Object Detection (HP)
|
100% |
4229
335.4 IPS |
|
|
Object Detection (Q)
|
87% |
6404
513.6 IPS |
|
|
Face Detection (SP)
|
100% |
8324
98.9 IPS |
|
|
Face Detection (HP)
|
100% |
8269
98.3 IPS |
|
|
Face Detection (Q)
|
97% |
19462
232.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
10206
78.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
9866
76.0 IPS |
|
|
Depth Estimation (Q)
|
81% |
18875
148.8 IPS |
|
|
Style Transfer (SP)
|
100% |
28911
37.2 IPS |
|
|
Style Transfer (HP)
|
100% |
28071
36.1 IPS |
|
|
Style Transfer (Q)
|
98% |
60217
77.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5502
203.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5792
213.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10944
405.4 IPS |
|
|
Text Classification (SP)
|
100% |
2740
3.66 KIPS |
|
|
Text Classification (HP)
|
100% |
2845
3.80 KIPS |
|
|
Text Classification (Q)
|
91% |
231
310.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2794
48.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2573
44.3 IPS |
|
|
Machine Translation (Q)
|
100% |
2447
42.1 IPS |
