Supermicro X9DR3-F
Geekbench AI Score
472
Single Precision Score
271
Half Precision Score
437
Quantized Score
Geekbench AI 1.2.0 for Windows x86 (64-bit)
Result Information
| Upload Date | December 27 2024 06:40 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E5-2603 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | Supermicro X9DR3-F |
| Motherboard | Supermicro X9DR3-F |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2603 |
| Topology | 2 Processors, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 45 Stepping 7 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
218
40.5 IPS |
|
|
Image Classification (HP)
|
100% |
72
13.5 IPS |
|
|
Image Classification (Q)
|
96% |
248
46.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
158
2.55 IPS |
|
|
Image Segmentation (HP)
|
100% |
170
2.75 IPS |
|
|
Image Segmentation (Q)
|
97% |
237
3.85 IPS |
|
|
Pose Estimation (SP)
|
100% |
1048
1.22 IPS |
|
|
Pose Estimation (HP)
|
100% |
797
0.93 IPS |
|
|
Pose Estimation (Q)
|
86% |
963
1.14 IPS |
|
|
Object Detection (SP)
|
100% |
418
33.2 IPS |
|
|
Object Detection (HP)
|
100% |
128
10.2 IPS |
|
|
Object Detection (Q)
|
58% |
305
33.4 IPS |
|
|
Face Detection (SP)
|
100% |
463
5.50 IPS |
|
|
Face Detection (HP)
|
100% |
306
3.64 IPS |
|
|
Face Detection (Q)
|
96% |
634
7.56 IPS |
|
|
Depth Estimation (SP)
|
100% |
1367
10.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
398
3.06 IPS |
|
|
Depth Estimation (Q)
|
78% |
852
6.78 IPS |
|
|
Style Transfer (SP)
|
100% |
2549
3.28 IPS |
|
|
Style Transfer (HP)
|
100% |
2190
2.82 IPS |
|
|
Style Transfer (Q)
|
87% |
1689
2.20 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
453
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
360
13.3 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
399
14.8 IPS |
|
|
Text Classification (SP)
|
100% |
162
216.6 IPS |
|
|
Text Classification (HP)
|
100% |
141
188.4 IPS |
|
|
Text Classification (Q)
|
97% |
125
167.3 IPS |
|
|
Machine Translation (SP)
|
100% |
308
5.30 IPS |
|
|
Machine Translation (HP)
|
100% |
131
2.25 IPS |
|
|
Machine Translation (Q)
|
68% |
330
6.38 IPS |
