Supermicro AS -8126GS-TNMR
Geekbench AI Score
2060
Single Precision Score
2104
Half Precision Score
2109
Quantized Score
Geekbench AI 1.7.0 for Linux AVX2
Result Information
| User | vktm |
| Upload Date | February 25 2026 03:37 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC 9575F 64-Core Processor |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.4 LTS |
| Model | Supermicro AS -8126GS-TNMR |
| Motherboard | Supermicro H14DSG-OD |
| CPU Information | |
|---|---|
| Name | AMD EPYC 9575F 64-Core Processor |
| Topology | 2 Processors, 128 Cores, 256 Threads |
| Identifier | AuthenticAMD Family 26 Model 2 Stepping 1 |
| Base Frequency | 5.01 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 3023.37 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1636
304.3 IPS |
|
|
Image Classification (HP)
|
100% |
1611
299.6 IPS |
|
|
Image Classification (Q)
|
99% |
1844
343.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
3744
60.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3685
59.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
1755
28.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
4403
5.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
4552
5.31 IPS |
|
|
Pose Estimation (Q)
|
96% |
6697
7.85 IPS |
|
|
Object Detection (SP)
|
100% |
1641
130.2 IPS |
|
|
Object Detection (HP)
|
100% |
1918
152.1 IPS |
|
|
Object Detection (Q)
|
85% |
2225
179.1 IPS |
|
|
Face Detection (SP)
|
100% |
2728
32.4 IPS |
|
|
Face Detection (HP)
|
100% |
2698
32.1 IPS |
|
|
Face Detection (Q)
|
97% |
3237
38.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2181
16.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
2220
17.1 IPS |
|
|
Depth Estimation (Q)
|
63% |
2376
22.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4209
5.41 IPS |
|
|
Style Transfer (HP)
|
100% |
4334
5.57 IPS |
|
|
Style Transfer (Q)
|
98% |
7216
9.31 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
965
35.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
974
36.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2146
79.5 IPS |
|
|
Text Classification (SP)
|
100% |
623
832.1 IPS |
|
|
Text Classification (HP)
|
100% |
604
806.1 IPS |
|
|
Text Classification (Q)
|
92% |
425
570.5 IPS |
|
|
Machine Translation (SP)
|
100% |
2070
35.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2154
37.1 IPS |
|
|
Machine Translation (Q)
|
58% |
714
16.8 IPS |
