B550 Steel Legend
Geekbench AI Score
16573
Single Precision Score
27948
Half Precision Score
12984
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 16 2026 07:05 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 5060 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | B550 Steel Legend |
| Motherboard | ASRock B550 Steel Legend |
| Power Plan | AMD Ryzen Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 3600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 23 Model 113 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6864
1.28 KIPS |
|
|
Image Classification (HP)
|
100% |
10898
2.03 KIPS |
|
|
Image Classification (Q)
|
99% |
6158
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11728
190.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
16212
262.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10944
178.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
94798
110.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
290875
339.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
79825
93.5 IPS |
|
|
Object Detection (SP)
|
100% |
9757
773.9 IPS |
|
|
Object Detection (HP)
|
100% |
14803
1.17 KIPS |
|
|
Object Detection (Q)
|
83% |
8032
648.9 IPS |
|
|
Face Detection (SP)
|
100% |
22994
273.2 IPS |
|
|
Face Detection (HP)
|
100% |
35516
422.0 IPS |
|
|
Face Detection (Q)
|
97% |
20690
246.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
45610
351.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
84446
650.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
33528
268.1 IPS |
|
|
Style Transfer (SP)
|
100% |
134269
172.6 IPS |
|
|
Style Transfer (HP)
|
100% |
432454
555.9 IPS |
|
|
Style Transfer (Q)
|
98% |
114104
147.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22781
841.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39457
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
17744
657.1 IPS |
|
|
Text Classification (SP)
|
100% |
2076
2.77 KIPS |
|
|
Text Classification (HP)
|
100% |
2353
3.14 KIPS |
|
|
Text Classification (Q)
|
97% |
1498
2.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
3154
54.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3174
54.7 IPS |
|
|
Machine Translation (Q)
|
70% |
1498
28.1 IPS |
