B650D4U-2L2T/BCM
Geekbench AI Score
39844
Single Precision Score
54962
Half Precision Score
32537
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | June 16 2025 02:11 AM |
| Views | 15 |
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% |
17927
3.33 KIPS |
|
|
Image Classification (HP)
|
100% |
19209
3.57 KIPS |
|
|
Image Classification (Q)
|
99% |
15902
2.97 KIPS |
|
|
Image Segmentation (SP)
|
100% |
28804
466.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
33429
541.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
26489
430.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
228433
266.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
710471
829.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
206128
241.4 IPS |
|
|
Object Detection (SP)
|
100% |
16927
1.34 KIPS |
|
|
Object Detection (HP)
|
99% |
22892
1.82 KIPS |
|
|
Object Detection (Q)
|
87% |
14796
1.19 KIPS |
|
|
Face Detection (SP)
|
100% |
56542
671.8 IPS |
|
|
Face Detection (HP)
|
100% |
61156
726.7 IPS |
|
|
Face Detection (Q)
|
97% |
49986
596.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
91658
706.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
136837
1.05 KIPS |
|
|
Depth Estimation (Q)
|
77% |
74887
600.1 IPS |
|
|
Style Transfer (SP)
|
100% |
438236
563.4 IPS |
|
|
Style Transfer (HP)
|
100% |
773936
994.9 IPS |
|
|
Style Transfer (Q)
|
98% |
387078
499.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
58305
2.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
96051
3.55 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
45776
1.70 KIPS |
|
|
Text Classification (SP)
|
100% |
5135
6.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5393
7.20 KIPS |
|
|
Text Classification (Q)
|
97% |
3520
4.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
7428
127.9 IPS |
|
|
Machine Translation (HP)
|
100% |
7180
123.7 IPS |
|
|
Machine Translation (Q)
|
70% |
4434
83.2 IPS |
