B650D4U-2L2T/BCM
Geekbench AI Score
40143
Single Precision Score
55882
Half Precision Score
32875
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | July 09 2025 01:01 AM |
| Views | 8 |
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% |
18164
3.38 KIPS |
|
|
Image Classification (HP)
|
100% |
19320
3.59 KIPS |
|
|
Image Classification (Q)
|
99% |
15927
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29501
478.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
35122
569.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
27481
446.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
231410
270.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
709002
827.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
210652
246.7 IPS |
|
|
Object Detection (SP)
|
100% |
16664
1.32 KIPS |
|
|
Object Detection (HP)
|
99% |
23038
1.83 KIPS |
|
|
Object Detection (Q)
|
87% |
15039
1.21 KIPS |
|
|
Face Detection (SP)
|
100% |
56973
677.0 IPS |
|
|
Face Detection (HP)
|
100% |
61931
735.9 IPS |
|
|
Face Detection (Q)
|
97% |
50305
599.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
90902
700.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
137664
1.06 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75057
601.5 IPS |
|
|
Style Transfer (SP)
|
100% |
436159
560.7 IPS |
|
|
Style Transfer (HP)
|
100% |
781643
1.00 KIPS |
|
|
Style Transfer (Q)
|
98% |
389272
502.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
57497
2.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
97199
3.59 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45517
1.69 KIPS |
|
|
Text Classification (SP)
|
100% |
5245
7.00 KIPS |
|
|
Text Classification (HP)
|
100% |
5416
7.23 KIPS |
|
|
Text Classification (Q)
|
97% |
3533
4.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
7721
133.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7639
131.6 IPS |
|
|
Machine Translation (Q)
|
70% |
4500
84.4 IPS |
