WINCOR NIXDORF BEETLE /MIII
Geekbench AI Score
5199
Single Precision Score
5268
Half Precision Score
3917
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| User | flintlock1 |
| Upload Date | April 08 2025 05:54 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce GTX 1060 5GB |
| 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% |
1127
209.6 IPS |
|
|
Image Classification (HP)
|
100% |
2085
387.7 IPS |
|
|
Image Classification (Q)
|
99% |
1033
192.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
3435
55.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
3274
53.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2831
46.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
35164
41.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
20642
24.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
28364
33.2 IPS |
|
|
Object Detection (SP)
|
100% |
1672
132.6 IPS |
|
|
Object Detection (HP)
|
100% |
2652
210.4 IPS |
|
|
Object Detection (Q)
|
83% |
1516
122.4 IPS |
|
|
Face Detection (SP)
|
100% |
3467
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
5270
62.6 IPS |
|
|
Face Detection (Q)
|
97% |
3049
36.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
11414
87.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
10787
83.3 IPS |
|
|
Depth Estimation (Q)
|
78% |
9022
72.0 IPS |
|
|
Style Transfer (SP)
|
100% |
60020
77.2 IPS |
|
|
Style Transfer (HP)
|
100% |
36641
47.1 IPS |
|
|
Style Transfer (Q)
|
98% |
45126
58.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9788
361.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7559
279.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6273
232.3 IPS |
|
|
Text Classification (SP)
|
100% |
1284
1.71 KIPS |
|
|
Text Classification (HP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (Q)
|
97% |
821
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
2127
36.6 IPS |
|
|
Machine Translation (HP)
|
96% |
1965
34.0 IPS |
|
|
Machine Translation (Q)
|
70% |
1060
19.9 IPS |
