Supermicro Super Server
Geekbench AI Score
10343
Single Precision Score
11310
Half Precision Score
7560
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | April 18 2025 08:48 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA Quadro GV100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2022 Datacenter (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro K1SPE |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon Phi(TM) CPU 7290 @ 1.50GHz |
| Topology | 1 Processor, 72 Cores, 288 Threads |
| Identifier | GenuineIntel Family 6 Model 87 Stepping 1 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 112.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2731
507.9 IPS |
|
|
Image Classification (HP)
|
100% |
2981
554.4 IPS |
|
|
Image Classification (Q)
|
100% |
2574
478.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
8373
135.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
10631
172.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
6385
103.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
113855
132.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
164212
191.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
81560
95.6 IPS |
|
|
Object Detection (SP)
|
100% |
5044
400.1 IPS |
|
|
Object Detection (HP)
|
100% |
5214
413.6 IPS |
|
|
Object Detection (Q)
|
85% |
3934
316.7 IPS |
|
|
Face Detection (SP)
|
100% |
12643
150.2 IPS |
|
|
Face Detection (HP)
|
100% |
14912
177.2 IPS |
|
|
Face Detection (Q)
|
97% |
9767
116.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
35802
275.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
30370
234.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
22202
177.5 IPS |
|
|
Style Transfer (SP)
|
100% |
146035
187.7 IPS |
|
|
Style Transfer (HP)
|
100% |
198651
255.4 IPS |
|
|
Style Transfer (Q)
|
98% |
114475
147.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14912
550.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13795
509.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
9862
365.2 IPS |
|
|
Text Classification (SP)
|
100% |
572
762.9 IPS |
|
|
Text Classification (HP)
|
100% |
554
739.5 IPS |
|
|
Text Classification (Q)
|
97% |
496
664.4 IPS |
|
|
Machine Translation (SP)
|
100% |
1893
32.6 IPS |
|
|
Machine Translation (HP)
|
98% |
1836
31.7 IPS |
|
|
Machine Translation (Q)
|
70% |
953
17.9 IPS |
