AsrockRack To be filled by O.E.M.
Geekbench AI Score
51912
Single Precision Score
78056
Half Precision Score
38756
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| Upload Date | August 21 2025 09:58 AM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX PRO 6000 Blackwell Workstation Edition |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Professionnel (64-bit) |
| Model | AsrockRack To be filled by O.E.M. |
| Motherboard | ASRockRack B650D4U |
| Power Plan | Utilisation normale |
| CPU Information | |
|---|---|
| Name | AMD EPYC 4585PX 16-Core Processor |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
18246
3.39 KIPS |
|
|
Image Classification (HP)
|
100% |
24261
4.51 KIPS |
|
|
Image Classification (Q)
|
100% |
15759
2.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
38857
629.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
49924
809.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
36294
590.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
421507
491.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
1073960
1.25 KIPS |
|
|
Pose Estimation (Q)
|
96% |
343015
401.8 IPS |
|
|
Object Detection (SP)
|
100% |
27174
2.16 KIPS |
|
|
Object Detection (HP)
|
100% |
35792
2.84 KIPS |
|
|
Object Detection (Q)
|
84% |
22482
1.81 KIPS |
|
|
Face Detection (SP)
|
100% |
83436
991.4 IPS |
|
|
Face Detection (HP)
|
100% |
107331
1.28 KIPS |
|
|
Face Detection (Q)
|
97% |
69480
828.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
121852
938.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
199457
1.54 KIPS |
|
|
Depth Estimation (Q)
|
77% |
93845
751.7 IPS |
|
|
Style Transfer (SP)
|
100% |
651087
837.0 IPS |
|
|
Style Transfer (HP)
|
100% |
1936469
2.49 KIPS |
|
|
Style Transfer (Q)
|
98% |
586190
755.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
80441
2.97 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
107459
3.97 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56090
2.08 KIPS |
|
|
Text Classification (SP)
|
100% |
4309
5.75 KIPS |
|
|
Text Classification (HP)
|
100% |
5281
7.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2483
3.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
7628
131.4 IPS |
|
|
Machine Translation (HP)
|
100% |
7666
132.0 IPS |
|
|
Machine Translation (Q)
|
70% |
3257
61.1 IPS |
