B650D4U-2L2T/BCM
Geekbench AI Score
29778
Single Precision Score
39354
Half Precision Score
24024
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 26 2025 01:01 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% |
10390
1.93 KIPS |
|
|
Image Classification (HP)
|
100% |
11559
2.15 KIPS |
|
|
Image Classification (Q)
|
99% |
10340
1.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20246
328.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
26679
432.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
18600
302.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
226260
264.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
627826
732.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
206335
241.7 IPS |
|
|
Object Detection (SP)
|
100% |
11293
895.7 IPS |
|
|
Object Detection (HP)
|
99% |
13973
1.11 KIPS |
|
|
Object Detection (Q)
|
87% |
10019
804.7 IPS |
|
|
Face Detection (SP)
|
100% |
39087
464.4 IPS |
|
|
Face Detection (HP)
|
100% |
44707
531.2 IPS |
|
|
Face Detection (Q)
|
97% |
34520
411.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
90348
696.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
118377
912.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
74654
598.3 IPS |
|
|
Style Transfer (SP)
|
100% |
428146
550.4 IPS |
|
|
Style Transfer (HP)
|
100% |
588359
756.3 IPS |
|
|
Style Transfer (Q)
|
98% |
318900
411.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41452
1.53 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
57727
2.13 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
31908
1.18 KIPS |
|
|
Text Classification (SP)
|
100% |
2858
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
3276
4.37 KIPS |
|
|
Text Classification (Q)
|
97% |
1944
2.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
5695
98.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5594
96.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3161
59.3 IPS |
