NEW PCC1 Advantech Default string Advantech Default string
Geekbench AI Score
1583
Single Precision Score
1626
Half Precision Score
1066
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | July 05 2025 08:32 PM |
| Views | 9 |
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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
700
130.2 IPS |
|
|
Image Classification (HP)
|
100% |
706
131.2 IPS |
|
|
Image Classification (Q)
|
100% |
578
107.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
944
15.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1064
17.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
729
11.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4899
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
5354
6.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
3271
3.83 IPS |
|
|
Object Detection (SP)
|
100% |
760
60.3 IPS |
|
|
Object Detection (HP)
|
98% |
641
51.0 IPS |
|
|
Object Detection (Q)
|
86% |
634
51.0 IPS |
|
|
Face Detection (SP)
|
100% |
1528
18.2 IPS |
|
|
Face Detection (HP)
|
100% |
1661
19.7 IPS |
|
|
Face Detection (Q)
|
97% |
1141
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2887
22.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
3172
24.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
2130
17.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10027
12.9 IPS |
|
|
Style Transfer (HP)
|
100% |
13591
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
7416
9.56 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1720
63.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2376
87.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
870
32.2 IPS |
|
|
Text Classification (SP)
|
100% |
795
1.06 KIPS |
|
|
Text Classification (HP)
|
100% |
460
613.8 IPS |
|
|
Text Classification (Q)
|
97% |
393
526.9 IPS |
|
|
Machine Translation (SP)
|
100% |
667
11.5 IPS |
|
|
Machine Translation (HP)
|
100% |
641
11.0 IPS |
|
|
Machine Translation (Q)
|
70% |
353
6.62 IPS |
