Supermicro AS -1114S-WN10RT
Geekbench AI Score
6389
Single Precision Score
6329
Half Precision Score
8332
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| Upload Date | December 13 2024 05:47 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD EPYC 7443P 24-Core Processor |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Supermicro AS -1114S-WN10RT |
| Motherboard | Supermicro H12SSW-NTR |
| CPU Information | |
|---|---|
| Name | AMD EPYC 7443P |
| Topology | 1 Processor, 24 Cores, 48 Threads |
| Identifier | AuthenticAMD Family 25 Model 1 Stepping 1 |
| Base Frequency | 2.85 GHz |
| Cluster 1 | 24 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
3312
616.0 IPS |
|
|
Image Classification (HP)
|
100% |
3320
617.4 IPS |
|
|
Image Classification (Q)
|
100% |
4985
927.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
5124
83.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5149
83.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
9333
151.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
13811
16.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
13716
16.0 IPS |
|
|
Pose Estimation (Q)
|
94% |
31087
36.5 IPS |
|
|
Object Detection (SP)
|
100% |
3927
311.5 IPS |
|
|
Object Detection (HP)
|
100% |
3846
305.1 IPS |
|
|
Object Detection (Q)
|
87% |
6263
502.3 IPS |
|
|
Face Detection (SP)
|
100% |
8830
104.9 IPS |
|
|
Face Detection (HP)
|
100% |
8612
102.3 IPS |
|
|
Face Detection (Q)
|
97% |
20728
247.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
12177
93.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
11980
92.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
21173
167.1 IPS |
|
|
Style Transfer (SP)
|
100% |
37755
48.5 IPS |
|
|
Style Transfer (HP)
|
100% |
38070
48.9 IPS |
|
|
Style Transfer (Q)
|
98% |
84663
109.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7182
265.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7122
263.0 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
13403
496.5 IPS |
|
|
Text Classification (SP)
|
100% |
2181
2.91 KIPS |
|
|
Text Classification (HP)
|
100% |
2108
2.81 KIPS |
|
|
Text Classification (Q)
|
91% |
180
242.2 IPS |
|
|
Machine Translation (SP)
|
100% |
1938
33.4 IPS |
|
|
Machine Translation (HP)
|
100% |
1941
33.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1987
34.2 IPS |
