B550M Steel Legend
Geekbench AI Score
16736
Single Precision Score
25376
Half Precision Score
26280
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | t0k1e |
| Upload Date | December 25 2024 06:28 AM |
| Views | 4 |
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 | Hchstleistung |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 5 5500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | AuthenticAMD Family 25 Model 80 Stepping 0 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8677
1.61 KIPS |
|
|
Image Classification (HP)
|
100% |
11352
2.11 KIPS |
|
|
Image Classification (Q)
|
100% |
11954
2.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13054
211.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
15637
253.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
15828
256.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
80600
94.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
274191
319.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
424420
496.9 IPS |
|
|
Object Detection (SP)
|
100% |
7992
633.9 IPS |
|
|
Object Detection (HP)
|
100% |
12340
978.8 IPS |
|
|
Object Detection (Q)
|
88% |
12746
1.02 KIPS |
|
|
Face Detection (SP)
|
100% |
22784
270.7 IPS |
|
|
Face Detection (HP)
|
100% |
28819
342.4 IPS |
|
|
Face Detection (Q)
|
100% |
29451
349.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
54201
417.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
98350
757.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
102254
795.2 IPS |
|
|
Style Transfer (SP)
|
100% |
177270
227.9 IPS |
|
|
Style Transfer (HP)
|
100% |
442352
568.7 IPS |
|
|
Style Transfer (Q)
|
98% |
468047
603.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26447
976.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
37789
1.40 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33293
1.23 KIPS |
|
|
Text Classification (SP)
|
100% |
1883
2.51 KIPS |
|
|
Text Classification (HP)
|
100% |
1804
2.41 KIPS |
|
|
Text Classification (Q)
|
92% |
1546
2.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
2168
37.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2157
37.1 IPS |
|
|
Machine Translation (Q)
|
100% |
2116
36.4 IPS |
