B550M Steel Legend
Geekbench AI Score
22452
Single Precision Score
42718
Half Precision Score
43066
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | t0k1e |
| Upload Date | April 26 2025 01:49 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) B580 Graphics (dGPU) |
| 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% |
12225
2.27 KIPS |
|
|
Image Classification (HP)
|
100% |
20908
3.89 KIPS |
|
|
Image Classification (Q)
|
100% |
19373
3.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22863
370.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
36652
594.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
38082
617.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
83485
97.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
350686
409.2 IPS |
|
|
Pose Estimation (Q)
|
97% |
641463
751.0 IPS |
|
|
Object Detection (SP)
|
100% |
10140
804.3 IPS |
|
|
Object Detection (HP)
|
100% |
24394
1.93 KIPS |
|
|
Object Detection (Q)
|
88% |
21808
1.75 KIPS |
|
|
Face Detection (SP)
|
100% |
29316
348.3 IPS |
|
|
Face Detection (HP)
|
100% |
55617
660.9 IPS |
|
|
Face Detection (Q)
|
100% |
58526
695.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
61122
470.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
133523
1.03 KIPS |
|
|
Depth Estimation (Q)
|
89% |
138244
1.08 KIPS |
|
|
Style Transfer (SP)
|
100% |
183883
236.4 IPS |
|
|
Style Transfer (HP)
|
100% |
581472
747.5 IPS |
|
|
Style Transfer (Q)
|
98% |
631882
814.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
32753
1.21 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
59174
2.19 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
50362
1.87 KIPS |
|
|
Text Classification (SP)
|
100% |
3325
4.44 KIPS |
|
|
Text Classification (HP)
|
100% |
3057
4.08 KIPS |
|
|
Text Classification (Q)
|
92% |
2050
2.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3834
66.0 IPS |
|
|
Machine Translation (HP)
|
100% |
3952
68.1 IPS |
|
|
Machine Translation (Q)
|
100% |
4029
69.4 IPS |
