B550 PG Velocita
Geekbench AI Score
12515
Single Precision Score
11020
Half Precision Score
8542
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | kazk |
| Upload Date | April 27 2025 01:41 AM |
| Views | 14 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 Ti |
| 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% |
3916
728.2 IPS |
|
|
Image Classification (HP)
|
100% |
4937
918.1 IPS |
|
|
Image Classification (Q)
|
99% |
3182
593.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
8189
132.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
8012
129.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
6152
100.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
95726
111.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
54347
63.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
71455
83.7 IPS |
|
|
Object Detection (SP)
|
100% |
4630
367.3 IPS |
|
|
Object Detection (HP)
|
100% |
6236
494.7 IPS |
|
|
Object Detection (Q)
|
84% |
3750
302.5 IPS |
|
|
Face Detection (SP)
|
100% |
9035
107.4 IPS |
|
|
Face Detection (HP)
|
100% |
12835
152.5 IPS |
|
|
Face Detection (Q)
|
97% |
7127
85.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
28726
221.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
23923
184.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
20109
161.1 IPS |
|
|
Style Transfer (SP)
|
100% |
159704
205.3 IPS |
|
|
Style Transfer (HP)
|
100% |
79543
102.3 IPS |
|
|
Style Transfer (Q)
|
98% |
111705
144.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25077
926.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17843
658.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13750
509.2 IPS |
|
|
Text Classification (SP)
|
100% |
1763
2.35 KIPS |
|
|
Text Classification (HP)
|
100% |
2279
3.04 KIPS |
|
|
Text Classification (Q)
|
97% |
1110
1.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3620
62.4 IPS |
|
|
Machine Translation (HP)
|
96% |
1985
34.3 IPS |
|
|
Machine Translation (Q)
|
70% |
1614
30.3 IPS |
