To Be Filled By O.E.M. ROMED8-2T
Geekbench AI Score
1018
Single Precision Score
1015
Half Precision Score
672
Quantized Score
Geekbench AI 1.0.0 for Linux AVX2
Result Information
| User | andyattebery |
| Upload Date | August 16 2024 06:16 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC 7282 |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | To Be Filled By O.E.M. ROMED8-2T |
| Motherboard | ASRockRack ROMED8-2T |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7282 |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 23 Model 49 Stepping 0 |
| Base Frequency | 2.08 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 172.80 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
695
129.2 IPS |
|
|
Image Classification (HP)
|
100% |
688
127.9 IPS |
|
|
Image Classification (Q)
|
99% |
412
76.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
864
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
876
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
440
7.15 IPS |
|
|
Pose Estimation (SP)
|
100% |
1551
1.81 IPS |
|
|
Pose Estimation (HP)
|
100% |
1629
1.90 IPS |
|
|
Pose Estimation (Q)
|
96% |
1949
2.28 IPS |
|
|
Object Detection (SP)
|
100% |
773
61.3 IPS |
|
|
Object Detection (HP)
|
100% |
772
61.3 IPS |
|
|
Object Detection (Q)
|
86% |
492
39.6 IPS |
|
|
Face Detection (SP)
|
100% |
1236
14.7 IPS |
|
|
Face Detection (HP)
|
100% |
1281
15.2 IPS |
|
|
Face Detection (Q)
|
97% |
678
8.08 IPS |
|
|
Depth Estimation (SP)
|
100% |
1285
9.90 IPS |
|
|
Depth Estimation (HP)
|
100% |
1219
9.39 IPS |
|
|
Depth Estimation (Q)
|
74% |
1038
8.43 IPS |
|
|
Style Transfer (SP)
|
100% |
1864
2.40 IPS |
|
|
Style Transfer (HP)
|
100% |
1889
2.43 IPS |
|
|
Style Transfer (Q)
|
98% |
2324
3.00 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
803
29.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
734
27.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
838
31.0 IPS |
|
|
Text Classification (SP)
|
100% |
583
777.7 IPS |
|
|
Text Classification (HP)
|
100% |
598
797.9 IPS |
|
|
Text Classification (Q)
|
92% |
290
389.7 IPS |
|
|
Machine Translation (SP)
|
100% |
1208
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1193
20.6 IPS |
|
|
Machine Translation (Q)
|
58% |
273
6.42 IPS |
