Default string D-1581Q3
Geekbench AI Score
1762
Single Precision Score
672
Half Precision Score
1468
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| Upload Date | January 02 2025 01:19 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
1078
200.4 IPS |
|
|
Image Classification (HP)
|
100% |
198
36.8 IPS |
|
|
Image Classification (Q)
|
96% |
1156
215.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
856
13.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
287
4.65 IPS |
|
|
Image Segmentation (Q)
|
97% |
1022
16.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
4031
4.70 IPS |
|
|
Pose Estimation (HP)
|
100% |
3201
3.74 IPS |
|
|
Pose Estimation (Q)
|
87% |
5637
6.66 IPS |
|
|
Object Detection (SP)
|
100% |
1203
95.5 IPS |
|
|
Object Detection (HP)
|
100% |
264
20.9 IPS |
|
|
Object Detection (Q)
|
86% |
831
66.8 IPS |
|
|
Face Detection (SP)
|
100% |
1350
16.0 IPS |
|
|
Face Detection (HP)
|
100% |
599
7.12 IPS |
|
|
Face Detection (Q)
|
96% |
1740
20.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
4667
36.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
907
6.99 IPS |
|
|
Depth Estimation (Q)
|
77% |
3077
24.6 IPS |
|
|
Style Transfer (SP)
|
100% |
10667
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
8788
11.3 IPS |
|
|
Style Transfer (Q)
|
87% |
7454
9.70 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1605
59.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1265
46.7 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1322
49.0 IPS |
|
|
Text Classification (SP)
|
100% |
705
940.8 IPS |
|
|
Text Classification (HP)
|
100% |
262
349.2 IPS |
|
|
Text Classification (Q)
|
97% |
196
262.2 IPS |
|
|
Machine Translation (SP)
|
100% |
848
14.6 IPS |
|
|
Machine Translation (HP)
|
100% |
250
4.31 IPS |
|
|
Machine Translation (Q)
|
60% |
813
18.1 IPS |
