AI MM Advantech Default string Advantech Default string
Geekbench AI Score
4913
Single Precision Score
9552
Half Precision Score
3592
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | July 20 2025 05:38 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA RTX A400 |
| 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% |
2001
372.1 IPS |
|
|
Image Classification (HP)
|
99% |
4133
770.9 IPS |
|
|
Image Classification (Q)
|
99% |
1730
322.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
3067
49.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
5511
89.3 IPS |
|
|
Image Segmentation (Q)
|
98% |
2613
42.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
15666
18.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
58562
68.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
13751
16.1 IPS |
|
|
Object Detection (SP)
|
100% |
2345
186.0 IPS |
|
|
Object Detection (HP)
|
100% |
5205
412.8 IPS |
|
|
Object Detection (Q)
|
83% |
2043
165.1 IPS |
|
|
Face Detection (SP)
|
100% |
5001
59.4 IPS |
|
|
Face Detection (HP)
|
100% |
8272
98.3 IPS |
|
|
Face Detection (Q)
|
97% |
4357
52.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
10051
77.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
22643
174.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
8021
64.1 IPS |
|
|
Style Transfer (SP)
|
100% |
26814
34.5 IPS |
|
|
Style Transfer (HP)
|
100% |
75952
97.6 IPS |
|
|
Style Transfer (Q)
|
98% |
22964
29.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6496
239.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
11960
441.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4405
163.1 IPS |
|
|
Text Classification (SP)
|
100% |
1739
2.32 KIPS |
|
|
Text Classification (HP)
|
99% |
2178
2.91 KIPS |
|
|
Text Classification (Q)
|
97% |
868
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
2389
41.2 IPS |
|
|
Machine Translation (HP)
|
98% |
2459
42.5 IPS |
|
|
Machine Translation (Q)
|
70% |
918
17.2 IPS |
