B450M Steel Legend
Geekbench AI Score
5028
Single Precision Score
5029
Half Precision Score
3886
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 25 2025 03:02 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 3GB |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B450M Steel Legend |
| Motherboard | ASRock B450M Steel Legend |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 3 1200 |
| Topology | 1 Processor, 4 Cores |
| Identifier | AuthenticAMD Family 23 Model 1 Stepping 1 |
| Base Frequency | 3.10 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1160
215.6 IPS |
|
|
Image Classification (HP)
|
100% |
2027
376.9 IPS |
|
|
Image Classification (Q)
|
99% |
1065
198.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
2819
45.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2933
47.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
2733
44.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
33884
39.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
18167
21.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
27638
32.4 IPS |
|
|
Object Detection (SP)
|
100% |
1641
130.2 IPS |
|
|
Object Detection (HP)
|
100% |
2556
202.7 IPS |
|
|
Object Detection (Q)
|
83% |
1456
117.6 IPS |
|
|
Face Detection (SP)
|
100% |
3346
39.8 IPS |
|
|
Face Detection (HP)
|
100% |
4908
58.3 IPS |
|
|
Face Detection (Q)
|
97% |
2976
35.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
11374
87.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
10245
79.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
8935
71.3 IPS |
|
|
Style Transfer (SP)
|
100% |
54364
69.9 IPS |
|
|
Style Transfer (HP)
|
100% |
33654
43.3 IPS |
|
|
Style Transfer (Q)
|
98% |
42710
55.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
10209
377.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7494
276.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6825
252.7 IPS |
|
|
Text Classification (SP)
|
100% |
1231
1.64 KIPS |
|
|
Text Classification (HP)
|
100% |
1384
1.85 KIPS |
|
|
Text Classification (Q)
|
97% |
786
1.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
2185
37.6 IPS |
|
|
Machine Translation (HP)
|
96% |
2139
37.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1103
20.7 IPS |
