primeLine Solutions B650D4U
Geekbench AI Score
4042
Single Precision Score
1587
Half Precision Score
6865
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | LessPlum3393 |
| Upload Date | March 17 2025 10:31 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 9 7900 |
| 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% |
3004
558.6 IPS |
|
|
Image Classification (HP)
|
100% |
530
98.7 IPS |
|
|
Image Classification (Q)
|
99% |
8176
1.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2123
34.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
785
12.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
2820
45.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
6944
8.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
5602
6.54 IPS |
|
|
Pose Estimation (Q)
|
94% |
30566
35.8 IPS |
|
|
Object Detection (SP)
|
100% |
2874
227.9 IPS |
|
|
Object Detection (HP)
|
100% |
642
50.9 IPS |
|
|
Object Detection (Q)
|
86% |
7530
605.1 IPS |
|
|
Face Detection (SP)
|
100% |
6351
75.5 IPS |
|
|
Face Detection (HP)
|
100% |
1377
16.4 IPS |
|
|
Face Detection (Q)
|
97% |
11293
134.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
8778
67.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2549
19.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
18544
148.0 IPS |
|
|
Style Transfer (SP)
|
100% |
18201
23.4 IPS |
|
|
Style Transfer (HP)
|
100% |
16215
20.8 IPS |
|
|
Style Transfer (Q)
|
98% |
34898
45.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2214
81.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2022
74.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3641
134.8 IPS |
|
|
Text Classification (SP)
|
100% |
1415
1.89 KIPS |
|
|
Text Classification (HP)
|
100% |
745
995.0 IPS |
|
|
Text Classification (Q)
|
97% |
476
637.7 IPS |
|
|
Machine Translation (SP)
|
100% |
2882
49.6 IPS |
|
|
Machine Translation (HP)
|
100% |
791
13.6 IPS |
|
|
Machine Translation (Q)
|
65% |
3459
69.5 IPS |
