ROMED8-2T/BCM
Geekbench AI Score
2707
Single Precision Score
898
Half Precision Score
3057
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Hulkstern |
| Upload Date | March 22 2025 02:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD EPYC 7402P |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | ROMED8-2T/BCM |
| Motherboard | ASRockRack ROMED8-2T/BCM |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7402P |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2069
384.8 IPS |
|
|
Image Classification (HP)
|
100% |
292
54.4 IPS |
|
|
Image Classification (Q)
|
96% |
2891
539.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
753
12.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
373
6.05 IPS |
|
|
Image Segmentation (Q)
|
97% |
1591
25.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
12425
14.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
6010
7.01 IPS |
|
|
Pose Estimation (Q)
|
86% |
10952
12.9 IPS |
|
|
Object Detection (SP)
|
100% |
2500
198.3 IPS |
|
|
Object Detection (HP)
|
100% |
360
28.5 IPS |
|
|
Object Detection (Q)
|
58% |
2199
240.3 IPS |
|
|
Face Detection (SP)
|
100% |
4801
57.0 IPS |
|
|
Face Detection (HP)
|
100% |
831
9.88 IPS |
|
|
Face Detection (Q)
|
96% |
5595
66.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8417
64.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1511
11.6 IPS |
|
|
Depth Estimation (Q)
|
78% |
7665
61.2 IPS |
|
|
Style Transfer (SP)
|
100% |
17633
22.7 IPS |
|
|
Style Transfer (HP)
|
100% |
12959
16.7 IPS |
|
|
Style Transfer (Q)
|
87% |
16885
22.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1270
46.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1059
39.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1219
45.2 IPS |
|
|
Text Classification (SP)
|
100% |
505
674.6 IPS |
|
|
Text Classification (HP)
|
100% |
262
349.2 IPS |
|
|
Text Classification (Q)
|
97% |
480
643.0 IPS |
|
|
Machine Translation (SP)
|
100% |
956
16.5 IPS |
|
|
Machine Translation (HP)
|
100% |
324
5.58 IPS |
|
|
Machine Translation (Q)
|
68% |
1519
29.3 IPS |
