Supermicro Super Server
Geekbench AI Score
11930
Single Precision Score
11904
Half Precision Score
21677
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | ACSOUV |
| Upload Date | September 26 2024 05:37 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X12SPA-TF |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) Platinum 8375C CPU @ 2.90GHz |
| Topology | 1 Processor, 32 Cores, 64 Threads |
| Identifier | GenuineIntel Family 6 Model 106 Stepping 6 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 512.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7126
1.33 KIPS |
|
|
Image Classification (HP)
|
100% |
7204
1.34 KIPS |
|
|
Image Classification (Q)
|
100% |
10966
2.04 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8225
133.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
8402
136.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
11750
190.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
26305
30.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
26733
31.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
108750
127.4 IPS |
|
|
Object Detection (SP)
|
100% |
7243
574.5 IPS |
|
|
Object Detection (HP)
|
100% |
7232
573.6 IPS |
|
|
Object Detection (Q)
|
88% |
12136
972.8 IPS |
|
|
Face Detection (SP)
|
100% |
21560
256.2 IPS |
|
|
Face Detection (HP)
|
100% |
20960
249.1 IPS |
|
|
Face Detection (Q)
|
100% |
32165
382.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
22498
173.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
21986
169.4 IPS |
|
|
Depth Estimation (Q)
|
89% |
48626
378.1 IPS |
|
|
Style Transfer (SP)
|
100% |
75482
97.0 IPS |
|
|
Style Transfer (HP)
|
100% |
74369
95.6 IPS |
|
|
Style Transfer (Q)
|
98% |
247016
318.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
13029
481.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12986
479.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
26760
991.0 IPS |
|
|
Text Classification (SP)
|
100% |
2858
3.81 KIPS |
|
|
Text Classification (HP)
|
100% |
2851
3.80 KIPS |
|
|
Text Classification (Q)
|
92% |
3383
4.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
3838
66.1 IPS |
|
|
Machine Translation (HP)
|
100% |
3851
66.3 IPS |
|
|
Machine Translation (Q)
|
100% |
3852
66.4 IPS |
