primeLine Solutions B650D4U
Geekbench AI Score
1943
Single Precision Score
2072
Half Precision Score
1593
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | LessPlum3393 |
| Upload Date | March 17 2025 11:02 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon(TM) Graphics |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | primeLine Solutions B650D4U |
| Motherboard | ASRockRack B650D4U |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 7900 |
| Topology | 1 Processor, 12 Cores, 24 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
644
119.7 IPS |
|
|
Image Classification (HP)
|
100% |
619
115.0 IPS |
|
|
Image Classification (Q)
|
100% |
637
118.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1145
18.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
637
10.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
999
16.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
6582
7.68 IPS |
|
|
Pose Estimation (HP)
|
100% |
10763
12.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
5914
6.93 IPS |
|
|
Object Detection (SP)
|
100% |
708
56.2 IPS |
|
|
Object Detection (HP)
|
100% |
660
52.3 IPS |
|
|
Object Detection (Q)
|
87% |
674
54.1 IPS |
|
|
Face Detection (SP)
|
100% |
2157
25.6 IPS |
|
|
Face Detection (HP)
|
100% |
2159
25.7 IPS |
|
|
Face Detection (Q)
|
97% |
2007
23.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
3733
28.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4432
34.2 IPS |
|
|
Depth Estimation (Q)
|
77% |
3269
26.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11213
14.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16226
20.9 IPS |
|
|
Style Transfer (Q)
|
98% |
9863
12.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2705
99.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3567
131.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2047
75.8 IPS |
|
|
Text Classification (SP)
|
100% |
744
992.6 IPS |
|
|
Text Classification (HP)
|
100% |
795
1.06 KIPS |
|
|
Text Classification (Q)
|
97% |
513
687.3 IPS |
|
|
Machine Translation (SP)
|
100% |
1234
21.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1184
20.4 IPS |
|
|
Machine Translation (Q)
|
70% |
613
11.5 IPS |
