ROMED8-2T/BCM
Geekbench AI Score
4701
Single Precision Score
4669
Half Precision Score
4549
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | Hulkstern |
| Upload Date | March 22 2025 02:44 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD EPYC 7402P 24-Core Processor |
| 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% |
2841
528.4 IPS |
|
|
Image Classification (HP)
|
100% |
2874
534.5 IPS |
|
|
Image Classification (Q)
|
100% |
3136
583.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2038
33.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1958
31.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
5747
93.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
11619
13.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
11785
13.8 IPS |
|
|
Pose Estimation (Q)
|
94% |
15550
18.2 IPS |
|
|
Object Detection (SP)
|
100% |
3278
260.0 IPS |
|
|
Object Detection (HP)
|
100% |
3276
259.8 IPS |
|
|
Object Detection (Q)
|
87% |
3795
304.3 IPS |
|
|
Face Detection (SP)
|
100% |
7988
94.9 IPS |
|
|
Face Detection (HP)
|
100% |
7868
93.5 IPS |
|
|
Face Detection (Q)
|
97% |
12403
147.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
9411
72.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
9412
72.5 IPS |
|
|
Depth Estimation (Q)
|
81% |
10654
84.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31045
39.9 IPS |
|
|
Style Transfer (HP)
|
100% |
31061
39.9 IPS |
|
|
Style Transfer (Q)
|
98% |
34948
45.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5170
190.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5247
193.7 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
6020
223.0 IPS |
|
|
Text Classification (SP)
|
100% |
1533
2.05 KIPS |
|
|
Text Classification (HP)
|
100% |
1506
2.01 KIPS |
|
|
Text Classification (Q)
|
91% |
104
139.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1295
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1248
21.5 IPS |
|
|
Machine Translation (Q)
|
100% |
1234
21.3 IPS |
