B550 Steel Legend
Geekbench AI Score
10648
Single Precision Score
13467
Half Precision Score
8010
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 10:50 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 6500 XT |
| System Information | |
|---|---|
| Operating System | Windows 11 Pro (64-bit) |
| Model | B550 Steel Legend |
| Motherboard | ASRock B550 Steel Legend |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5600 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3926
730.1 IPS |
|
|
Image Classification (HP)
|
100% |
5170
961.4 IPS |
|
|
Image Classification (Q)
|
100% |
3447
641.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
7012
113.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5491
89.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
5724
93.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
51152
59.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
86769
101.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
42428
49.7 IPS |
|
|
Object Detection (SP)
|
100% |
4383
347.7 IPS |
|
|
Object Detection (HP)
|
100% |
5363
425.4 IPS |
|
|
Object Detection (Q)
|
87% |
3857
309.8 IPS |
|
|
Face Detection (SP)
|
100% |
11262
133.8 IPS |
|
|
Face Detection (HP)
|
100% |
15780
187.5 IPS |
|
|
Face Detection (Q)
|
97% |
9120
108.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
25630
197.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
35942
276.9 IPS |
|
|
Depth Estimation (Q)
|
76% |
19792
159.0 IPS |
|
|
Style Transfer (SP)
|
100% |
98676
126.8 IPS |
|
|
Style Transfer (HP)
|
100% |
132624
170.5 IPS |
|
|
Style Transfer (Q)
|
98% |
77769
100.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
18135
669.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23355
862.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
11854
438.9 IPS |
|
|
Text Classification (SP)
|
100% |
2019
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2781
3.71 KIPS |
|
|
Text Classification (Q)
|
97% |
1295
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
2913
50.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3042
52.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1563
29.3 IPS |
