E5 Aleo IDC 2ch RAM Default string Default string
Geekbench AI Score
1271
Single Precision Score
1207
Half Precision Score
980
Quantized Score
Geekbench AI 1.3.0 for Linux AVX2
Result Information
| User | valuxin |
| Upload Date | March 27 2025 05:30 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Intel Xeon E5-2687W v3 |
| System Information | |
|---|---|
| Operating System | Ubuntu 24.04.2 LTS |
| Model | Default string Default string |
| Motherboard | INTEL E5 ALEO IDC |
| CPU Information | |
|---|---|
| Name | Intel Xeon E5-2687W v3 |
| Topology | 2 Processors, 20 Cores, 40 Threads |
| Identifier | GenuineIntel Family 6 Model 63 Stepping 2 |
| Base Frequency | 3.50 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 62.78 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
901
167.6 IPS |
|
|
Image Classification (HP)
|
100% |
1087
202.1 IPS |
|
|
Image Classification (Q)
|
99% |
646
120.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1513
24.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1556
25.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
634
10.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1724
2.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
1707
1.99 IPS |
|
|
Pose Estimation (Q)
|
96% |
2962
3.47 IPS |
|
|
Object Detection (SP)
|
100% |
1079
85.6 IPS |
|
|
Object Detection (HP)
|
100% |
938
74.4 IPS |
|
|
Object Detection (Q)
|
85% |
834
67.1 IPS |
|
|
Face Detection (SP)
|
100% |
1442
17.1 IPS |
|
|
Face Detection (HP)
|
100% |
1496
17.8 IPS |
|
|
Face Detection (Q)
|
97% |
1471
17.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1330
10.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1297
10.00 IPS |
|
|
Depth Estimation (Q)
|
63% |
1360
12.7 IPS |
|
|
Style Transfer (SP)
|
100% |
1847
2.37 IPS |
|
|
Style Transfer (HP)
|
100% |
1755
2.26 IPS |
|
|
Style Transfer (Q)
|
98% |
3979
5.13 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1027
37.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
978
36.1 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1106
41.0 IPS |
|
|
Text Classification (SP)
|
100% |
1014
1.35 KIPS |
|
|
Text Classification (HP)
|
100% |
584
779.4 IPS |
|
|
Text Classification (Q)
|
92% |
325
436.0 IPS |
|
|
Machine Translation (SP)
|
100% |
1178
20.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1246
21.5 IPS |
|
|
Machine Translation (Q)
|
58% |
285
6.69 IPS |
