B550 PG Velocita
Geekbench AI Score
5852
Single Precision Score
5774
Half Precision Score
8067
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kazk |
| Upload Date | April 27 2025 01:45 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | B550 PG Velocita |
| Motherboard | ASRock B550 PG Velocita |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 5950X |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 33 Stepping 2 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3274
608.8 IPS |
|
|
Image Classification (HP)
|
100% |
3049
567.1 IPS |
|
|
Image Classification (Q)
|
100% |
5734
1.07 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4835
78.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
4820
78.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
8866
144.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
9499
11.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
9710
11.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
21604
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
3878
307.6 IPS |
|
|
Object Detection (HP)
|
100% |
3758
298.1 IPS |
|
|
Object Detection (Q)
|
87% |
6468
518.7 IPS |
|
|
Face Detection (SP)
|
100% |
8587
102.0 IPS |
|
|
Face Detection (HP)
|
100% |
8298
98.6 IPS |
|
|
Face Detection (Q)
|
97% |
19133
228.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9865
76.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
10277
79.2 IPS |
|
|
Depth Estimation (Q)
|
81% |
19806
156.2 IPS |
|
|
Style Transfer (SP)
|
100% |
27983
36.0 IPS |
|
|
Style Transfer (HP)
|
100% |
28000
36.0 IPS |
|
|
Style Transfer (Q)
|
98% |
60898
78.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5447
201.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5517
203.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
10866
402.5 IPS |
|
|
Text Classification (SP)
|
100% |
2428
3.24 KIPS |
|
|
Text Classification (HP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (Q)
|
91% |
254
342.0 IPS |
|
|
Machine Translation (SP)
|
100% |
2577
44.4 IPS |
|
|
Machine Translation (HP)
|
100% |
2548
43.9 IPS |
|
|
Machine Translation (Q)
|
100% |
2581
44.5 IPS |
