B650D4U-2L2T/BCM
Geekbench AI Score
31247
Single Precision Score
41114
Half Precision Score
25257
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 26 2025 12:56 PM |
| Views | 9 |
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% |
11051
2.06 KIPS |
|
|
Image Classification (HP)
|
100% |
12051
2.24 KIPS |
|
|
Image Classification (Q)
|
99% |
10613
1.98 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21553
349.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
28042
454.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
19886
323.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
233364
272.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
639491
746.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
211837
248.1 IPS |
|
|
Object Detection (SP)
|
100% |
11828
938.2 IPS |
|
|
Object Detection (HP)
|
99% |
14763
1.17 KIPS |
|
|
Object Detection (Q)
|
87% |
10158
815.8 IPS |
|
|
Face Detection (SP)
|
100% |
41820
496.9 IPS |
|
|
Face Detection (HP)
|
100% |
47822
568.2 IPS |
|
|
Face Detection (Q)
|
97% |
36893
439.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
91064
701.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
115842
892.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
74798
599.4 IPS |
|
|
Style Transfer (SP)
|
100% |
422937
543.7 IPS |
|
|
Style Transfer (HP)
|
100% |
526098
676.3 IPS |
|
|
Style Transfer (Q)
|
98% |
390605
503.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
42954
1.59 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
64044
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31443
1.16 KIPS |
|
|
Text Classification (SP)
|
100% |
3231
4.31 KIPS |
|
|
Text Classification (HP)
|
100% |
3521
4.70 KIPS |
|
|
Text Classification (Q)
|
97% |
2294
3.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
6038
104.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6582
113.4 IPS |
|
|
Machine Translation (Q)
|
70% |
2992
56.1 IPS |
