AI MM Advantech Default string Advantech Default string
Geekbench AI Score
1589
Single Precision Score
1628
Half Precision Score
1074
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | July 20 2025 05:43 PM |
| Views | 10 |
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 i5-12500 |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 151 Stepping 5 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
696
129.4 IPS |
|
|
Image Classification (HP)
|
100% |
710
132.0 IPS |
|
|
Image Classification (Q)
|
100% |
599
111.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
952
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1073
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
728
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4894
5.71 IPS |
|
|
Pose Estimation (HP)
|
100% |
5353
6.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
3281
3.84 IPS |
|
|
Object Detection (SP)
|
100% |
764
60.6 IPS |
|
|
Object Detection (HP)
|
98% |
643
51.1 IPS |
|
|
Object Detection (Q)
|
86% |
639
51.4 IPS |
|
|
Face Detection (SP)
|
100% |
1532
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1665
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
1146
13.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2896
22.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3177
24.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
2129
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10088
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13590
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
7448
9.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1713
63.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2374
87.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
874
32.4 IPS |
|
|
Text Classification (SP)
|
100% |
805
1.07 KIPS |
|
|
Text Classification (HP)
|
100% |
453
605.2 IPS |
|
|
Text Classification (Q)
|
97% |
399
534.2 IPS |
|
|
Machine Translation (SP)
|
100% |
673
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
647
11.1 IPS |
|
|
Machine Translation (Q)
|
70% |
354
6.65 IPS |
