B650D4U-2L2T/BCM
Geekbench AI Score
29695
Single Precision Score
39544
Half Precision Score
24317
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 26 2025 01:03 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | AMD Radeon RX 9070 XT |
| 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% |
10951
2.04 KIPS |
|
|
Image Classification (HP)
|
100% |
11295
2.10 KIPS |
|
|
Image Classification (Q)
|
99% |
10012
1.87 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19807
321.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
26052
422.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
18254
296.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
220254
257.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
631904
737.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
200259
234.6 IPS |
|
|
Object Detection (SP)
|
100% |
11075
878.5 IPS |
|
|
Object Detection (HP)
|
99% |
13331
1.06 KIPS |
|
|
Object Detection (Q)
|
87% |
10882
874.0 IPS |
|
|
Face Detection (SP)
|
100% |
38363
455.8 IPS |
|
|
Face Detection (HP)
|
100% |
43792
520.3 IPS |
|
|
Face Detection (Q)
|
97% |
33892
404.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
89420
688.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
118372
912.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
74301
595.4 IPS |
|
|
Style Transfer (SP)
|
100% |
382187
491.3 IPS |
|
|
Style Transfer (HP)
|
100% |
629088
808.7 IPS |
|
|
Style Transfer (Q)
|
98% |
377110
486.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
45228
1.67 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57233
2.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
33377
1.24 KIPS |
|
|
Text Classification (SP)
|
100% |
2993
4.00 KIPS |
|
|
Text Classification (HP)
|
100% |
3261
4.35 KIPS |
|
|
Text Classification (Q)
|
97% |
2103
2.82 KIPS |
|
|
Machine Translation (SP)
|
100% |
5679
97.8 IPS |
|
|
Machine Translation (HP)
|
100% |
6199
106.8 IPS |
|
|
Machine Translation (Q)
|
70% |
2724
51.1 IPS |
