Supermicro Super Server
Geekbench AI Score
8140
Single Precision Score
8234
Half Precision Score
16829
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | November 12 2024 06:17 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) Silver 4314 CPU @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X12DPi-NT6 |
| CPU Information | |
|---|---|
| Name | Intel Xeon Silver 4314 |
| Topology | 2 Processors, 32 Cores, 64 Threads |
| Identifier | GenuineIntel Family 6 Model 106 Stepping 6 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 32 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5007
931.2 IPS |
|
|
Image Classification (HP)
|
100% |
5027
934.8 IPS |
|
|
Image Classification (Q)
|
100% |
9615
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5575
90.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
5625
91.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
8936
144.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
13985
16.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
14237
16.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
57509
67.4 IPS |
|
|
Object Detection (SP)
|
100% |
4841
384.0 IPS |
|
|
Object Detection (HP)
|
100% |
4920
390.3 IPS |
|
|
Object Detection (Q)
|
88% |
10402
833.8 IPS |
|
|
Face Detection (SP)
|
100% |
13622
161.9 IPS |
|
|
Face Detection (HP)
|
100% |
13563
161.2 IPS |
|
|
Face Detection (Q)
|
100% |
27607
328.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
14574
112.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
14806
114.1 IPS |
|
|
Depth Estimation (Q)
|
89% |
34385
267.4 IPS |
|
|
Style Transfer (SP)
|
100% |
37224
47.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38665
49.7 IPS |
|
|
Style Transfer (Q)
|
98% |
135287
174.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7694
284.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7845
289.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21070
780.3 IPS |
|
|
Text Classification (SP)
|
100% |
3216
4.29 KIPS |
|
|
Text Classification (HP)
|
100% |
3219
4.30 KIPS |
|
|
Text Classification (Q)
|
92% |
3544
4.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
3697
63.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3692
63.6 IPS |
|
|
Machine Translation (Q)
|
100% |
3697
63.7 IPS |
