Supermicro X9DRi-LN4+/X9DR3-LN4+
Geekbench AI Score
99
Single Precision Score
99
Half Precision Score
70
Quantized Score
Geekbench AI 1.4.0 for Linux x86 (64-bit)
Result Information
| User | HanzYolo |
| Upload Date | July 23 2025 06:49 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2687W v2 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Supermicro X9DRi-LN4+/X9DR3-LN4+ |
| Motherboard | Supermicro X9DRi-LN4+/X9DR3-LN4+ |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2687W v2 |
| Topology | 2 Processors, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 62 Stepping 4 |
| Base Frequency | 4.00 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 188.85 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
60
11.2 IPS |
|
|
Image Classification (HP)
|
100% |
60
11.1 IPS |
|
|
Image Classification (Q)
|
97% |
47
8.71 IPS |
|
|
Image Segmentation (SP)
|
100% |
83
1.34 IPS |
|
|
Image Segmentation (HP)
|
100% |
83
1.34 IPS |
|
|
Image Segmentation (Q)
|
98% |
60
0.98 IPS |
|
|
Pose Estimation (SP)
|
100% |
97
0.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
97
0.11 IPS |
|
|
Pose Estimation (Q)
|
96% |
78
0.09 IPS |
|
|
Object Detection (SP)
|
100% |
59
4.65 IPS |
|
|
Object Detection (HP)
|
100% |
59
4.65 IPS |
|
|
Object Detection (Q)
|
87% |
45
3.61 IPS |
|
|
Face Detection (SP)
|
100% |
189
2.24 IPS |
|
|
Face Detection (HP)
|
100% |
189
2.25 IPS |
|
|
Face Detection (Q)
|
97% |
140
1.67 IPS |
|
|
Depth Estimation (SP)
|
100% |
139
1.07 IPS |
|
|
Depth Estimation (HP)
|
99% |
139
1.07 IPS |
|
|
Depth Estimation (Q)
|
64% |
90
0.83 IPS |
|
|
Style Transfer (SP)
|
100% |
286
0.37 IPS |
|
|
Style Transfer (HP)
|
100% |
285
0.37 IPS |
|
|
Style Transfer (Q)
|
98% |
230
0.30 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
61
2.27 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
62
2.27 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
47
1.73 IPS |
|
|
Text Classification (SP)
|
100% |
67
89.5 IPS |
|
|
Text Classification (HP)
|
100% |
65
87.2 IPS |
|
|
Text Classification (Q)
|
91% |
46
61.5 IPS |
|
|
Machine Translation (SP)
|
100% |
105
1.80 IPS |
|
|
Machine Translation (HP)
|
100% |
109
1.88 IPS |
|
|
Machine Translation (Q)
|
58% |
50
1.20 IPS |
