B650D4U-2L2T/BCM
Geekbench AI Score
4854
Single Precision Score
1674
Half Precision Score
8796
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | August 06 2025 01:35 AM |
| Views | 10 |
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% |
3229
600.6 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.7 IPS |
|
|
Image Classification (Q)
|
99% |
8480
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2247
36.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
713
11.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3934
64.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
9792
11.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
8445
9.85 IPS |
|
|
Pose Estimation (Q)
|
94% |
41896
49.1 IPS |
|
|
Object Detection (SP)
|
100% |
4207
333.7 IPS |
|
|
Object Detection (HP)
|
100% |
679
53.9 IPS |
|
|
Object Detection (Q)
|
86% |
10368
833.3 IPS |
|
|
Face Detection (SP)
|
100% |
7499
89.1 IPS |
|
|
Face Detection (HP)
|
100% |
1356
16.1 IPS |
|
|
Face Detection (Q)
|
97% |
12557
149.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
12363
95.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
2609
20.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
21607
172.4 IPS |
|
|
Style Transfer (SP)
|
100% |
25296
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
20971
27.0 IPS |
|
|
Style Transfer (Q)
|
98% |
35712
46.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2646
97.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2266
83.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3701
137.1 IPS |
|
|
Text Classification (SP)
|
100% |
1396
1.86 KIPS |
|
|
Text Classification (HP)
|
100% |
685
913.7 IPS |
|
|
Text Classification (Q)
|
97% |
1372
1.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
2806
48.3 IPS |
|
|
Machine Translation (HP)
|
100% |
738
12.7 IPS |
|
|
Machine Translation (Q)
|
65% |
3891
78.2 IPS |
