B650D4U-2L2T/BCM
Geekbench AI Score
32736
Single Precision Score
43653
Half Precision Score
26304
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 26 2025 01:08 PM |
| 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% |
11843
2.20 KIPS |
|
|
Image Classification (HP)
|
100% |
12935
2.41 KIPS |
|
|
Image Classification (Q)
|
99% |
11620
2.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22433
363.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
29286
474.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
20654
335.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
237749
277.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
652709
761.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
214547
251.3 IPS |
|
|
Object Detection (SP)
|
100% |
11848
939.8 IPS |
|
|
Object Detection (HP)
|
99% |
15562
1.23 KIPS |
|
|
Object Detection (Q)
|
87% |
10869
872.9 IPS |
|
|
Face Detection (SP)
|
100% |
43690
519.1 IPS |
|
|
Face Detection (HP)
|
100% |
49524
588.5 IPS |
|
|
Face Detection (Q)
|
97% |
38744
462.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
91340
703.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
123684
952.9 IPS |
|
|
Depth Estimation (Q)
|
77% |
75632
606.1 IPS |
|
|
Style Transfer (SP)
|
100% |
442315
568.6 IPS |
|
|
Style Transfer (HP)
|
100% |
717023
921.7 IPS |
|
|
Style Transfer (Q)
|
98% |
352978
455.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
48971
1.81 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
63982
2.36 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
37288
1.38 KIPS |
|
|
Text Classification (SP)
|
100% |
3432
4.58 KIPS |
|
|
Text Classification (HP)
|
100% |
3717
4.96 KIPS |
|
|
Text Classification (Q)
|
97% |
2329
3.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
6367
109.7 IPS |
|
|
Machine Translation (HP)
|
100% |
6253
107.7 IPS |
|
|
Machine Translation (Q)
|
70% |
3155
59.2 IPS |
