B650D4U-2L2T/BCM
Geekbench AI Score
36866
Single Precision Score
51439
Half Precision Score
31966
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 10 2025 10:42 PM |
| Views | 14 |
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% |
16863
3.14 KIPS |
|
|
Image Classification (HP)
|
100% |
18737
3.48 KIPS |
|
|
Image Classification (Q)
|
99% |
15733
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19897
322.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
23300
377.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
25275
411.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
226912
264.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
689760
804.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
206247
241.6 IPS |
|
|
Object Detection (SP)
|
100% |
16149
1.28 KIPS |
|
|
Object Detection (HP)
|
99% |
21721
1.72 KIPS |
|
|
Object Detection (Q)
|
87% |
14769
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
55856
663.7 IPS |
|
|
Face Detection (HP)
|
100% |
61509
730.9 IPS |
|
|
Face Detection (Q)
|
97% |
49611
591.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
90372
696.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
134953
1.04 KIPS |
|
|
Depth Estimation (Q)
|
77% |
75204
602.7 IPS |
|
|
Style Transfer (SP)
|
100% |
419536
539.3 IPS |
|
|
Style Transfer (HP)
|
100% |
761407
978.8 IPS |
|
|
Style Transfer (Q)
|
98% |
389118
501.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
54864
2.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
88846
3.28 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45351
1.68 KIPS |
|
|
Text Classification (SP)
|
100% |
4738
6.32 KIPS |
|
|
Text Classification (HP)
|
100% |
5194
6.93 KIPS |
|
|
Text Classification (Q)
|
97% |
3377
4.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
6853
118.0 IPS |
|
|
Machine Translation (HP)
|
100% |
6799
117.1 IPS |
|
|
Machine Translation (Q)
|
70% |
4137
77.6 IPS |
