B550 PG Velocita
Geekbench AI Score
3909
Single Precision Score
1423
Half Precision Score
5658
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kazk |
| Upload Date | April 27 2025 01:37 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 5950X |
| 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% |
2901
539.5 IPS |
|
|
Image Classification (HP)
|
100% |
485
90.3 IPS |
|
|
Image Classification (Q)
|
96% |
5505
1.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1916
31.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
664
10.8 IPS |
|
|
Image Segmentation (Q)
|
97% |
3108
50.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
9424
11.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
6202
7.24 IPS |
|
|
Pose Estimation (Q)
|
86% |
18485
21.9 IPS |
|
|
Object Detection (SP)
|
100% |
2995
237.6 IPS |
|
|
Object Detection (HP)
|
100% |
607
48.2 IPS |
|
|
Object Detection (Q)
|
58% |
4400
480.8 IPS |
|
|
Face Detection (SP)
|
100% |
5718
67.9 IPS |
|
|
Face Detection (HP)
|
100% |
1340
15.9 IPS |
|
|
Face Detection (Q)
|
96% |
9406
112.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9368
72.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2182
16.8 IPS |
|
|
Depth Estimation (Q)
|
78% |
13360
106.6 IPS |
|
|
Style Transfer (SP)
|
100% |
19272
24.8 IPS |
|
|
Style Transfer (HP)
|
100% |
15675
20.2 IPS |
|
|
Style Transfer (Q)
|
87% |
18229
23.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2178
80.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1721
63.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2974
110.2 IPS |
|
|
Text Classification (SP)
|
100% |
1171
1.56 KIPS |
|
|
Text Classification (HP)
|
100% |
560
748.0 IPS |
|
|
Text Classification (Q)
|
97% |
1190
1.59 KIPS |
|
|
Machine Translation (SP)
|
100% |
2020
34.8 IPS |
|
|
Machine Translation (HP)
|
100% |
639
11.0 IPS |
|
|
Machine Translation (Q)
|
68% |
2983
57.6 IPS |
