Supermicro Super Server
Geekbench AI Score
301
Single Precision Score
297
Half Precision Score
210
Quantized Score
Geekbench AI 1.3.0 for Linux x86 (64-bit)
Result Information
| User | dlfretz |
| Upload Date | May 22 2025 09:06 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | AMD EPYC 7C13 64-Core Processor |
| System Information | |
|---|---|
| Operating System | Debian GNU/Linux 12 (bookworm) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro H12SSL-I |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7C13 64-Core Processor |
| Topology | 1 Processor, 64 Cores, 128 Threads |
| Identifier | AuthenticAMD Family 25 Model 1 Stepping 1 |
| Base Frequency | 2.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 188.52 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
155
28.9 IPS |
|
|
Image Classification (HP)
|
100% |
153
28.5 IPS |
|
|
Image Classification (Q)
|
97% |
119
22.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
273
4.42 IPS |
|
|
Image Segmentation (HP)
|
100% |
277
4.49 IPS |
|
|
Image Segmentation (Q)
|
98% |
185
3.02 IPS |
|
|
Pose Estimation (SP)
|
100% |
366
0.43 IPS |
|
|
Pose Estimation (HP)
|
100% |
363
0.42 IPS |
|
|
Pose Estimation (Q)
|
96% |
306
0.36 IPS |
|
|
Object Detection (SP)
|
100% |
162
12.8 IPS |
|
|
Object Detection (HP)
|
100% |
163
12.9 IPS |
|
|
Object Detection (Q)
|
87% |
127
10.2 IPS |
|
|
Face Detection (SP)
|
100% |
539
6.41 IPS |
|
|
Face Detection (HP)
|
100% |
539
6.41 IPS |
|
|
Face Detection (Q)
|
97% |
413
4.92 IPS |
|
|
Depth Estimation (SP)
|
100% |
416
3.21 IPS |
|
|
Depth Estimation (HP)
|
99% |
410
3.16 IPS |
|
|
Depth Estimation (Q)
|
64% |
272
2.50 IPS |
|
|
Style Transfer (SP)
|
100% |
920
1.18 IPS |
|
|
Style Transfer (HP)
|
100% |
924
1.19 IPS |
|
|
Style Transfer (Q)
|
98% |
867
1.12 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
205
7.57 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
207
7.64 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
163
6.02 IPS |
|
|
Text Classification (SP)
|
100% |
174
232.0 IPS |
|
|
Text Classification (HP)
|
100% |
155
206.7 IPS |
|
|
Text Classification (Q)
|
91% |
94
125.8 IPS |
|
|
Machine Translation (SP)
|
100% |
337
5.80 IPS |
|
|
Machine Translation (HP)
|
100% |
334
5.75 IPS |
|
|
Machine Translation (Q)
|
58% |
133
3.17 IPS |
