Supermicro Super Server
Geekbench AI Score
11361
Single Precision Score
21236
Half Precision Score
22699
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | May 11 2025 01:40 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Pro A60 Graphics (dGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows Server 2025 Datacenter (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X13SAE-F |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) i9-14900KS |
| Topology | 1 Processor, 24 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 3.20 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5514
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
9175
1.71 KIPS |
|
|
Image Classification (Q)
|
100% |
9601
1.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11374
184.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
18824
305.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
19702
319.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
42363
49.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
180904
211.1 IPS |
|
|
Pose Estimation (Q)
|
97% |
247465
289.7 IPS |
|
|
Object Detection (SP)
|
100% |
5011
397.5 IPS |
|
|
Object Detection (HP)
|
100% |
10884
863.3 IPS |
|
|
Object Detection (Q)
|
88% |
11712
938.6 IPS |
|
|
Face Detection (SP)
|
100% |
18997
225.7 IPS |
|
|
Face Detection (HP)
|
100% |
28828
342.5 IPS |
|
|
Face Detection (Q)
|
100% |
31098
369.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
23638
182.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
55842
430.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
58626
455.7 IPS |
|
|
Style Transfer (SP)
|
100% |
109007
140.1 IPS |
|
|
Style Transfer (HP)
|
100% |
237393
305.2 IPS |
|
|
Style Transfer (Q)
|
98% |
318891
411.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14386
531.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27679
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
28131
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2068
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
1841
2.46 KIPS |
|
|
Text Classification (Q)
|
92% |
1416
1.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
1848
31.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2817
48.5 IPS |
|
|
Machine Translation (Q)
|
100% |
2861
49.3 IPS |
