Advantech Default string
Geekbench AI Score
1745
Single Precision Score
1790
Half Precision Score
1178
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 16 2025 01:01 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) UHD Graphics 770 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Advantech Default string |
| Motherboard | Advantech AIMB-788E |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i7-14700 |
| Topology | 1 Processor, 20 Cores, 28 Threads |
| Identifier | GenuineIntel Family 6 Model 183 Stepping 1 |
| Base Frequency | 2.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 12 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
784
145.9 IPS |
|
|
Image Classification (HP)
|
100% |
794
147.7 IPS |
|
|
Image Classification (Q)
|
100% |
654
121.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1058
17.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
1181
19.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
802
13.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5406
6.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
5890
6.87 IPS |
|
|
Pose Estimation (Q)
|
96% |
3619
4.24 IPS |
|
|
Object Detection (SP)
|
100% |
837
66.4 IPS |
|
|
Object Detection (HP)
|
98% |
724
57.6 IPS |
|
|
Object Detection (Q)
|
86% |
705
56.7 IPS |
|
|
Face Detection (SP)
|
100% |
1693
20.1 IPS |
|
|
Face Detection (HP)
|
100% |
1839
21.8 IPS |
|
|
Face Detection (Q)
|
97% |
1259
15.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
3144
24.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3465
26.8 IPS |
|
|
Depth Estimation (Q)
|
77% |
2334
18.7 IPS |
|
|
Style Transfer (SP)
|
100% |
11064
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
14879
19.1 IPS |
|
|
Style Transfer (Q)
|
98% |
8239
10.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1908
70.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2641
97.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
967
35.8 IPS |
|
|
Text Classification (SP)
|
100% |
839
1.12 KIPS |
|
|
Text Classification (HP)
|
100% |
471
628.2 IPS |
|
|
Text Classification (Q)
|
97% |
420
563.0 IPS |
|
|
Machine Translation (SP)
|
100% |
742
12.8 IPS |
|
|
Machine Translation (HP)
|
100% |
718
12.4 IPS |
|
|
Machine Translation (Q)
|
70% |
394
7.39 IPS |
