Supermicro Super Server
Geekbench AI Score
34361
Single Precision Score
45497
Half Precision Score
28950
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | danm1988 |
| Upload Date | August 14 2025 12:52 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Radeon AI PRO R9700 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro for Workstations (64-bit) |
| Model | Supermicro Super Server |
| Motherboard | Supermicro X13SAE-F |
| Power Plan | Ultimate Performance |
| CPU Information | |
|---|---|
| Name | Intel Core i9-13900KS |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
16058
2.99 KIPS |
|
|
Image Classification (HP)
|
100% |
18199
3.38 KIPS |
|
|
Image Classification (Q)
|
99% |
14945
2.79 KIPS |
|
|
Image Segmentation (SP)
|
100% |
17488
283.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
19865
322.0 IPS |
|
|
Image Segmentation (Q)
|
98% |
20642
335.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
210089
245.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
616521
719.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
188153
220.4 IPS |
|
|
Object Detection (SP)
|
100% |
16843
1.34 KIPS |
|
|
Object Detection (HP)
|
99% |
19580
1.55 KIPS |
|
|
Object Detection (Q)
|
87% |
15643
1.26 KIPS |
|
|
Face Detection (SP)
|
100% |
49977
593.8 IPS |
|
|
Face Detection (HP)
|
100% |
57606
684.5 IPS |
|
|
Face Detection (Q)
|
97% |
44290
528.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
84327
649.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
125827
969.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
71390
572.1 IPS |
|
|
Style Transfer (SP)
|
100% |
385276
495.3 IPS |
|
|
Style Transfer (HP)
|
100% |
665508
855.5 IPS |
|
|
Style Transfer (Q)
|
98% |
343699
443.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
49530
1.83 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
76560
2.83 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
41604
1.54 KIPS |
|
|
Text Classification (SP)
|
100% |
4705
6.28 KIPS |
|
|
Text Classification (HP)
|
100% |
3781
5.05 KIPS |
|
|
Text Classification (Q)
|
97% |
2645
3.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
6103
105.1 IPS |
|
|
Machine Translation (HP)
|
100% |
6237
107.4 IPS |
|
|
Machine Translation (Q)
|
70% |
3809
71.4 IPS |
