Supermicro X9DAi GTX 1080 Supermicro X9DAi
Geekbench AI Score
8120
Single Precision Score
8030
Half Precision Score
6118
Quantized Score
Geekbench AI 1.5.0 for Windows x86 (64-bit)
Result Information
| User | pmai |
| Upload Date | December 17 2025 10:57 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1080 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Enterprise (64-bit) |
| Model | Supermicro X9DAi |
| Motherboard | Supermicro X9DAi |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2667 v2 |
| Topology | 2 Processors, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 3.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2288
425.4 IPS |
|
|
Image Classification (HP)
|
100% |
3304
614.5 IPS |
|
|
Image Classification (Q)
|
100% |
1997
371.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
4748
77.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
4734
76.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
4030
65.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
65810
76.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
36982
43.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
52085
61.0 IPS |
|
|
Object Detection (SP)
|
100% |
3000
238.0 IPS |
|
|
Object Detection (HP)
|
100% |
4442
352.4 IPS |
|
|
Object Detection (Q)
|
84% |
2571
207.4 IPS |
|
|
Face Detection (SP)
|
100% |
5770
68.6 IPS |
|
|
Face Detection (HP)
|
100% |
8758
104.1 IPS |
|
|
Face Detection (Q)
|
97% |
5200
62.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
20502
158.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
17943
138.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
15376
123.2 IPS |
|
|
Style Transfer (SP)
|
100% |
105969
136.2 IPS |
|
|
Style Transfer (HP)
|
100% |
60217
77.4 IPS |
|
|
Style Transfer (Q)
|
98% |
80867
104.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17782
656.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
13779
508.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10871
402.5 IPS |
|
|
Text Classification (SP)
|
100% |
1273
1.70 KIPS |
|
|
Text Classification (HP)
|
100% |
1645
2.20 KIPS |
|
|
Text Classification (Q)
|
97% |
839
1.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
2049
35.3 IPS |
|
|
Machine Translation (HP)
|
96% |
2023
35.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1156
21.7 IPS |
