B650D4U-2L2T/BCM
Geekbench AI Score
5134
Single Precision Score
1706
Half Precision Score
8880
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 17 2025 11:23 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 4584PX 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | B650D4U-2L2T/BCM |
| Motherboard | ASRockRack B650D4U-2L2T/BCM |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | AMD EPYC 4584PX 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 25 Model 97 Stepping 2 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3780
702.9 IPS |
|
|
Image Classification (HP)
|
100% |
532
98.9 IPS |
|
|
Image Classification (Q)
|
99% |
9255
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2224
36.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
746
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
4068
66.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
13284
15.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8852
10.3 IPS |
|
|
Pose Estimation (Q)
|
94% |
41790
49.0 IPS |
|
|
Object Detection (SP)
|
100% |
4341
344.3 IPS |
|
|
Object Detection (HP)
|
100% |
689
54.7 IPS |
|
|
Object Detection (Q)
|
86% |
10416
837.1 IPS |
|
|
Face Detection (SP)
|
100% |
7575
90.0 IPS |
|
|
Face Detection (HP)
|
100% |
1361
16.2 IPS |
|
|
Face Detection (Q)
|
97% |
12327
147.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
12125
93.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
2452
18.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
20771
165.7 IPS |
|
|
Style Transfer (SP)
|
100% |
26393
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
22132
28.5 IPS |
|
|
Style Transfer (Q)
|
98% |
36618
47.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2554
94.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2211
81.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3651
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
1437
1.92 KIPS |
|
|
Text Classification (HP)
|
100% |
704
939.4 IPS |
|
|
Text Classification (Q)
|
97% |
1355
1.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
2951
50.8 IPS |
|
|
Machine Translation (HP)
|
100% |
751
12.9 IPS |
|
|
Machine Translation (Q)
|
65% |
4011
80.6 IPS |
