B650D4U-2L2T/BCM
Geekbench AI Score
5078
Single Precision Score
1667
Half Precision Score
8806
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 16 2025 02:14 AM |
| 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% |
4040
751.3 IPS |
|
|
Image Classification (HP)
|
100% |
529
98.4 IPS |
|
|
Image Classification (Q)
|
99% |
9330
1.74 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2445
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
737
11.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
4079
66.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
13073
15.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
8592
10.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
42150
49.4 IPS |
|
|
Object Detection (SP)
|
100% |
3925
311.3 IPS |
|
|
Object Detection (HP)
|
100% |
692
54.9 IPS |
|
|
Object Detection (Q)
|
86% |
10474
841.8 IPS |
|
|
Face Detection (SP)
|
100% |
7753
92.1 IPS |
|
|
Face Detection (HP)
|
100% |
1345
16.0 IPS |
|
|
Face Detection (Q)
|
97% |
12183
145.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
12204
94.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
2712
20.9 IPS |
|
|
Depth Estimation (Q)
|
78% |
20151
160.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24048
30.9 IPS |
|
|
Style Transfer (HP)
|
100% |
17119
22.0 IPS |
|
|
Style Transfer (Q)
|
98% |
30769
39.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2570
94.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2195
81.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3779
139.9 IPS |
|
|
Text Classification (SP)
|
100% |
1406
1.88 KIPS |
|
|
Text Classification (HP)
|
100% |
706
942.4 IPS |
|
|
Text Classification (Q)
|
97% |
1413
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2737
47.1 IPS |
|
|
Machine Translation (HP)
|
100% |
740
12.8 IPS |
|
|
Machine Translation (Q)
|
65% |
4138
83.2 IPS |
