Default string D-1581Q3
Geekbench AI Score
2839
Single Precision Score
2862
Half Precision Score
2961
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 01:28 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Xeon(R) CPU D-1581 @ 1.80GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 IoT Enterprise LTSC (64-bit) |
| Model | Default string D-1581Q3 |
| Motherboard | Default string D-1581Q3 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel(R) Xeon(R) CPU D-1581 @ 1.80GHz |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | GenuineIntel Family 6 Model 86 Stepping 4 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2126
395.5 IPS |
|
|
Image Classification (HP)
|
100% |
2154
400.6 IPS |
|
|
Image Classification (Q)
|
100% |
2159
401.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
2109
34.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2108
34.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2229
36.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
5231
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
5230
6.10 IPS |
|
|
Pose Estimation (Q)
|
94% |
6448
7.56 IPS |
|
|
Object Detection (SP)
|
100% |
1839
145.9 IPS |
|
|
Object Detection (HP)
|
100% |
1855
147.1 IPS |
|
|
Object Detection (Q)
|
87% |
2151
172.5 IPS |
|
|
Face Detection (SP)
|
100% |
3305
39.3 IPS |
|
|
Face Detection (HP)
|
100% |
3386
40.2 IPS |
|
|
Face Detection (Q)
|
97% |
6746
80.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5761
44.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
5853
45.1 IPS |
|
|
Depth Estimation (Q)
|
81% |
6771
53.5 IPS |
|
|
Style Transfer (SP)
|
100% |
15551
20.0 IPS |
|
|
Style Transfer (HP)
|
100% |
15536
20.0 IPS |
|
|
Style Transfer (Q)
|
98% |
18634
24.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3109
114.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
3175
117.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3681
136.3 IPS |
|
|
Text Classification (SP)
|
100% |
512
684.0 IPS |
|
|
Text Classification (HP)
|
100% |
511
681.5 IPS |
|
|
Text Classification (Q)
|
91% |
149
199.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1674
28.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1677
28.9 IPS |
|
|
Machine Translation (Q)
|
100% |
1667
28.7 IPS |
