NEW PCC 32 Advantech Default string Advantech Default string
Geekbench AI Score
1587
Single Precision Score
1626
Half Precision Score
1072
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | July 20 2025 04:20 AM |
| Views | 7 |
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% |
697
129.7 IPS |
|
|
Image Classification (HP)
|
100% |
706
131.3 IPS |
|
|
Image Classification (Q)
|
100% |
599
111.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
951
15.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1074
17.4 IPS |
|
|
Image Segmentation (Q)
|
98% |
727
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
4905
5.72 IPS |
|
|
Pose Estimation (HP)
|
100% |
5356
6.25 IPS |
|
|
Pose Estimation (Q)
|
96% |
3279
3.84 IPS |
|
|
Object Detection (SP)
|
100% |
765
60.7 IPS |
|
|
Object Detection (HP)
|
98% |
645
51.3 IPS |
|
|
Object Detection (Q)
|
86% |
638
51.3 IPS |
|
|
Face Detection (SP)
|
100% |
1522
18.1 IPS |
|
|
Face Detection (HP)
|
100% |
1664
19.8 IPS |
|
|
Face Detection (Q)
|
97% |
1138
13.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2899
22.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
3189
24.6 IPS |
|
|
Depth Estimation (Q)
|
77% |
2128
17.0 IPS |
|
|
Style Transfer (SP)
|
100% |
10075
13.0 IPS |
|
|
Style Transfer (HP)
|
100% |
13624
17.5 IPS |
|
|
Style Transfer (Q)
|
98% |
7422
9.57 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1699
62.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2374
87.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
871
32.3 IPS |
|
|
Text Classification (SP)
|
100% |
807
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
449
599.6 IPS |
|
|
Text Classification (Q)
|
97% |
396
530.4 IPS |
|
|
Machine Translation (SP)
|
100% |
672
11.6 IPS |
|
|
Machine Translation (HP)
|
100% |
642
11.1 IPS |
|
|
Machine Translation (Q)
|
70% |
355
6.65 IPS |
