B650D4U-2L2T/BCM
Geekbench AI Score
39822
Single Precision Score
54823
Half Precision Score
32651
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | August 06 2025 01:20 AM |
| Views | 5 |
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% |
17943
3.34 KIPS |
|
|
Image Classification (HP)
|
100% |
19143
3.56 KIPS |
|
|
Image Classification (Q)
|
99% |
15800
2.95 KIPS |
|
|
Image Segmentation (SP)
|
100% |
29284
474.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
33631
545.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
27436
446.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
228053
266.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
695396
811.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
206905
242.4 IPS |
|
|
Object Detection (SP)
|
100% |
16675
1.32 KIPS |
|
|
Object Detection (HP)
|
99% |
22629
1.79 KIPS |
|
|
Object Detection (Q)
|
87% |
14885
1.20 KIPS |
|
|
Face Detection (SP)
|
100% |
56324
669.3 IPS |
|
|
Face Detection (HP)
|
100% |
61471
730.4 IPS |
|
|
Face Detection (Q)
|
97% |
50084
597.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
90035
693.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
134039
1.03 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74540
597.4 IPS |
|
|
Style Transfer (SP)
|
100% |
428156
550.4 IPS |
|
|
Style Transfer (HP)
|
100% |
775897
997.4 IPS |
|
|
Style Transfer (Q)
|
98% |
384858
496.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58267
2.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
95493
3.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45103
1.67 KIPS |
|
|
Text Classification (SP)
|
100% |
5217
6.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5296
7.07 KIPS |
|
|
Text Classification (Q)
|
97% |
3528
4.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
7605
131.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7489
129.0 IPS |
|
|
Machine Translation (Q)
|
70% |
4512
84.6 IPS |
