B650D4U-2L2T/BCM
Geekbench AI Score
4951
Single Precision Score
1710
Half Precision Score
8824
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 10 2025 10:40 PM |
| Views | 9 |
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% |
3922
729.3 IPS |
|
|
Image Classification (HP)
|
100% |
529
98.4 IPS |
|
|
Image Classification (Q)
|
99% |
9283
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2205
35.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
707
11.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
3977
64.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
9027
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
8391
9.79 IPS |
|
|
Pose Estimation (Q)
|
94% |
42679
50.0 IPS |
|
|
Object Detection (SP)
|
100% |
4023
319.1 IPS |
|
|
Object Detection (HP)
|
100% |
690
54.8 IPS |
|
|
Object Detection (Q)
|
86% |
10101
811.8 IPS |
|
|
Face Detection (SP)
|
100% |
7446
88.5 IPS |
|
|
Face Detection (HP)
|
100% |
1386
16.5 IPS |
|
|
Face Detection (Q)
|
97% |
12591
150.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
13007
100.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2610
20.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
19302
154.0 IPS |
|
|
Style Transfer (SP)
|
100% |
24877
32.0 IPS |
|
|
Style Transfer (HP)
|
100% |
22957
29.5 IPS |
|
|
Style Transfer (Q)
|
98% |
33320
43.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2623
96.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2264
83.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3741
138.5 IPS |
|
|
Text Classification (SP)
|
100% |
1461
1.95 KIPS |
|
|
Text Classification (HP)
|
100% |
692
923.6 IPS |
|
|
Text Classification (Q)
|
97% |
1315
1.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3056
52.6 IPS |
|
|
Machine Translation (HP)
|
100% |
762
13.1 IPS |
|
|
Machine Translation (Q)
|
65% |
4515
90.7 IPS |
