B550M Steel Legend
Geekbench AI Score
3488
Single Precision Score
3526
Half Precision Score
5866
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | t0k1e |
| Upload Date | December 25 2024 06:19 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 5 5500 |
| 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% |
2238
416.2 IPS |
|
|
Image Classification (HP)
|
100% |
2223
413.4 IPS |
|
|
Image Classification (Q)
|
100% |
3798
706.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2386
38.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2406
39.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
4012
65.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4551
5.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
4548
5.31 IPS |
|
|
Pose Estimation (Q)
|
94% |
10238
12.0 IPS |
|
|
Object Detection (SP)
|
100% |
2024
160.5 IPS |
|
|
Object Detection (HP)
|
100% |
2074
164.5 IPS |
|
|
Object Detection (Q)
|
87% |
3958
317.4 IPS |
|
|
Face Detection (SP)
|
100% |
4040
48.0 IPS |
|
|
Face Detection (HP)
|
100% |
4044
48.1 IPS |
|
|
Face Detection (Q)
|
97% |
10689
127.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5804
44.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
5855
45.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
10489
82.8 IPS |
|
|
Style Transfer (SP)
|
100% |
13131
16.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13255
17.0 IPS |
|
|
Style Transfer (Q)
|
98% |
28775
37.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2611
96.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2637
97.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5882
217.9 IPS |
|
|
Text Classification (SP)
|
100% |
2092
2.79 KIPS |
|
|
Text Classification (HP)
|
100% |
2119
2.83 KIPS |
|
|
Text Classification (Q)
|
91% |
1339
1.80 KIPS |
|
|
Machine Translation (SP)
|
100% |
3231
55.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3363
57.9 IPS |
|
|
Machine Translation (Q)
|
100% |
3077
53.0 IPS |
