WINCOR NIXDORF BEETLE /MIII
Geekbench AI Score
1914
Single Precision Score
1913
Half Precision Score
3133
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | flintlock1 |
| Upload Date | April 08 2025 05:50 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) i5-7500 CPU @ 3.40GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | WINCOR NIXDORF BEETLE /MIII |
| Motherboard | WINCOR NIXDORF M1.0-Q170-uATX |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1181
219.7 IPS |
|
|
Image Classification (HP)
|
100% |
1177
218.9 IPS |
|
|
Image Classification (Q)
|
100% |
2053
381.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
987
16.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
971
15.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
1978
32.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
2733
3.19 IPS |
|
|
Pose Estimation (HP)
|
100% |
2725
3.18 IPS |
|
|
Pose Estimation (Q)
|
94% |
5079
5.96 IPS |
|
|
Object Detection (SP)
|
100% |
1073
85.1 IPS |
|
|
Object Detection (HP)
|
100% |
1096
86.9 IPS |
|
|
Object Detection (Q)
|
87% |
2109
169.1 IPS |
|
|
Face Detection (SP)
|
100% |
1776
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
1756
20.9 IPS |
|
|
Face Detection (Q)
|
97% |
5010
59.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3157
24.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
3153
24.3 IPS |
|
|
Depth Estimation (Q)
|
81% |
5653
44.6 IPS |
|
|
Style Transfer (SP)
|
100% |
7488
9.63 IPS |
|
|
Style Transfer (HP)
|
100% |
7509
9.65 IPS |
|
|
Style Transfer (Q)
|
98% |
14361
18.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1557
57.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1580
58.4 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
2942
109.0 IPS |
|
|
Text Classification (SP)
|
100% |
1713
2.29 KIPS |
|
|
Text Classification (HP)
|
100% |
1670
2.23 KIPS |
|
|
Text Classification (Q)
|
91% |
1009
1.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
1732
29.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1753
30.2 IPS |
|
|
Machine Translation (Q)
|
100% |
1737
29.9 IPS |
