Supermicro Super Server
Geekbench AI Score
661
Single Precision Score
664
Half Precision Score
1112
Quantized Score
Geekbench AI 1.6.0 for Linux AVX2
Result Information
| User | Evo72 |
| Upload Date | January 30 2026 02:56 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC 7B13 64-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.3 LTS |
| Model | Supermicro Super Server |
| Motherboard | Supermicro H12SSL-I |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7B13 64-Core Processor |
| Topology | 1 Processor, 64 Cores, 128 Threads |
| Identifier | AuthenticAMD Family 25 Model 1 Stepping 1 |
| Base Frequency | 3.54 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 125.60 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
449
83.6 IPS |
|
|
Image Classification (HP)
|
100% |
499
92.7 IPS |
|
|
Image Classification (Q)
|
99% |
878
163.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
790
12.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
748
12.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
871
14.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
1230
1.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
1222
1.43 IPS |
|
|
Pose Estimation (Q)
|
96% |
3402
3.99 IPS |
|
|
Object Detection (SP)
|
100% |
426
33.8 IPS |
|
|
Object Detection (HP)
|
100% |
456
36.2 IPS |
|
|
Object Detection (Q)
|
85% |
1051
84.6 IPS |
|
|
Face Detection (SP)
|
100% |
677
8.05 IPS |
|
|
Face Detection (HP)
|
100% |
603
7.16 IPS |
|
|
Face Detection (Q)
|
97% |
1784
21.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
733
5.65 IPS |
|
|
Depth Estimation (HP)
|
99% |
729
5.62 IPS |
|
|
Depth Estimation (Q)
|
63% |
1311
12.3 IPS |
|
|
Style Transfer (SP)
|
100% |
1476
1.90 IPS |
|
|
Style Transfer (HP)
|
100% |
1413
1.82 IPS |
|
|
Style Transfer (Q)
|
98% |
3553
4.58 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
535
19.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
525
19.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1263
46.8 IPS |
|
|
Text Classification (SP)
|
100% |
384
512.5 IPS |
|
|
Text Classification (HP)
|
100% |
431
574.7 IPS |
|
|
Text Classification (Q)
|
92% |
228
306.3 IPS |
|
|
Machine Translation (SP)
|
100% |
574
9.88 IPS |
|
|
Machine Translation (HP)
|
100% |
573
9.87 IPS |
|
|
Machine Translation (Q)
|
58% |
443
10.4 IPS |
