To Be Filled By O.E.M. ROMED8-2T/BCM
Geekbench AI Score
1387
Single Precision Score
1391
Half Precision Score
993
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | Hulkstern |
| Upload Date | March 19 2025 07:28 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC 7402P |
| System Information | |
|---|---|
| Operating System | Pop!_OS 22.04 LTS |
| Model | To Be Filled By O.E.M. ROMED8-2T/BCM |
| Motherboard | ASRockRack ROMED8-2T/BCM |
| 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 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 251.57 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
969
180.1 IPS |
|
|
Image Classification (HP)
|
100% |
968
180.0 IPS |
|
|
Image Classification (Q)
|
99% |
623
116.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1563
25.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1544
25.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
745
12.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2287
2.67 IPS |
|
|
Pose Estimation (HP)
|
100% |
2296
2.68 IPS |
|
|
Pose Estimation (Q)
|
96% |
3135
3.67 IPS |
|
|
Object Detection (SP)
|
100% |
1065
84.5 IPS |
|
|
Object Detection (HP)
|
100% |
1090
86.4 IPS |
|
|
Object Detection (Q)
|
85% |
728
58.6 IPS |
|
|
Face Detection (SP)
|
100% |
1573
18.7 IPS |
|
|
Face Detection (HP)
|
100% |
1570
18.7 IPS |
|
|
Face Detection (Q)
|
97% |
1037
12.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
1568
12.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1556
12.0 IPS |
|
|
Depth Estimation (Q)
|
63% |
1171
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2478
3.19 IPS |
|
|
Style Transfer (HP)
|
100% |
2506
3.22 IPS |
|
|
Style Transfer (Q)
|
98% |
3795
4.89 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
846
31.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
853
31.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1134
42.0 IPS |
|
|
Text Classification (SP)
|
100% |
789
1.05 KIPS |
|
|
Text Classification (HP)
|
100% |
778
1.04 KIPS |
|
|
Text Classification (Q)
|
92% |
430
578.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1752
30.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1788
30.8 IPS |
|
|
Machine Translation (Q)
|
58% |
392
9.19 IPS |
