B550M Steel Legend
Geekbench AI Score
20004
Single Precision Score
30895
Half Precision Score
13505
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | t0k1e |
| Upload Date | April 26 2025 01:36 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) B580 Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B550M Steel Legend |
| Motherboard | ASRock B550M Steel Legend |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 5700X |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9708
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
12125
2.25 KIPS |
|
|
Image Classification (Q)
|
100% |
7676
1.43 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13614
220.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16399
265.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
10439
169.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
79354
92.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
313259
365.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
63695
74.6 IPS |
|
|
Object Detection (SP)
|
100% |
12261
972.5 IPS |
|
|
Object Detection (HP)
|
100% |
15592
1.24 KIPS |
|
|
Object Detection (Q)
|
87% |
9572
768.3 IPS |
|
|
Face Detection (SP)
|
100% |
26363
313.2 IPS |
|
|
Face Detection (HP)
|
100% |
34608
411.2 IPS |
|
|
Face Detection (Q)
|
97% |
18607
221.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
63435
488.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
97228
749.1 IPS |
|
|
Depth Estimation (Q)
|
77% |
36110
289.4 IPS |
|
|
Style Transfer (SP)
|
100% |
196298
252.3 IPS |
|
|
Style Transfer (HP)
|
100% |
518406
666.4 IPS |
|
|
Style Transfer (Q)
|
98% |
129626
167.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29491
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
49838
1.84 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
15975
591.5 IPS |
|
|
Text Classification (SP)
|
100% |
2763
3.69 KIPS |
|
|
Text Classification (HP)
|
100% |
3085
4.12 KIPS |
|
|
Text Classification (Q)
|
97% |
1702
2.28 KIPS |
|
|
Machine Translation (SP)
|
100% |
2984
51.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3042
52.4 IPS |
|
|
Machine Translation (Q)
|
70% |
1745
32.7 IPS |
