Supermicro X10SL7-F
Geekbench AI Score
1391
Single Precision Score
761
Half Precision Score
1302
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | October 29 2024 12:10 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Xeon E3-1240 v3 |
| System Information | |
|---|---|
| Operating System | Windows 10 Pro (64-bit) |
| Model | Supermicro X10SL7-F |
| Motherboard | Supermicro X10SL7-F |
| CPU Information | |
|---|---|
| Name | Intel Xeon E3-1240 v3 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 60 Stepping 3 |
| Base Frequency | 3.40 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
887
164.9 IPS |
|
|
Image Classification (HP)
|
100% |
290
54.0 IPS |
|
|
Image Classification (Q)
|
96% |
969
181.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
649
10.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
445
7.21 IPS |
|
|
Image Segmentation (Q)
|
97% |
912
14.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2680
3.13 IPS |
|
|
Pose Estimation (HP)
|
100% |
2167
2.53 IPS |
|
|
Pose Estimation (Q)
|
87% |
2883
3.41 IPS |
|
|
Object Detection (SP)
|
100% |
867
68.7 IPS |
|
|
Object Detection (HP)
|
100% |
369
29.3 IPS |
|
|
Object Detection (Q)
|
86% |
774
62.2 IPS |
|
|
Face Detection (SP)
|
100% |
1178
14.0 IPS |
|
|
Face Detection (HP)
|
100% |
733
8.71 IPS |
|
|
Face Detection (Q)
|
96% |
1726
20.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2743
21.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
1109
8.54 IPS |
|
|
Depth Estimation (Q)
|
77% |
2311
18.5 IPS |
|
|
Style Transfer (SP)
|
100% |
5958
7.66 IPS |
|
|
Style Transfer (HP)
|
100% |
4812
6.19 IPS |
|
|
Style Transfer (Q)
|
87% |
5557
7.23 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1157
42.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1001
37.0 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1080
40.0 IPS |
|
|
Text Classification (SP)
|
100% |
1003
1.34 KIPS |
|
|
Text Classification (HP)
|
100% |
429
572.2 IPS |
|
|
Text Classification (Q)
|
97% |
326
436.2 IPS |
|
|
Machine Translation (SP)
|
100% |
914
15.7 IPS |
|
|
Machine Translation (HP)
|
100% |
379
6.52 IPS |
|
|
Machine Translation (Q)
|
60% |
910
20.3 IPS |
