PCC 1 i5 14 Advantech Default string Advantech Default string
Geekbench AI Score
1676
Single Precision Score
1735
Half Precision Score
1137
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | tester_one |
| Upload Date | August 14 2025 03:32 PM |
| Views | 6 |
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 i5-14500 |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 191 Stepping 2 |
| Base Frequency | 2.60 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
745
138.5 IPS |
|
|
Image Classification (HP)
|
100% |
760
141.4 IPS |
|
|
Image Classification (Q)
|
100% |
636
118.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1012
16.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1153
18.7 IPS |
|
|
Image Segmentation (Q)
|
98% |
786
12.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
5224
6.10 IPS |
|
|
Pose Estimation (HP)
|
100% |
5734
6.69 IPS |
|
|
Pose Estimation (Q)
|
96% |
3498
4.10 IPS |
|
|
Object Detection (SP)
|
100% |
805
63.8 IPS |
|
|
Object Detection (HP)
|
98% |
682
54.3 IPS |
|
|
Object Detection (Q)
|
86% |
675
54.3 IPS |
|
|
Face Detection (SP)
|
100% |
1625
19.3 IPS |
|
|
Face Detection (HP)
|
100% |
1768
21.0 IPS |
|
|
Face Detection (Q)
|
97% |
1214
14.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3076
23.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
3367
26.0 IPS |
|
|
Depth Estimation (Q)
|
77% |
2263
18.1 IPS |
|
|
Style Transfer (SP)
|
100% |
10685
13.7 IPS |
|
|
Style Transfer (HP)
|
100% |
14516
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
7914
10.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1820
67.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2543
93.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
929
34.4 IPS |
|
|
Text Classification (SP)
|
100% |
813
1.08 KIPS |
|
|
Text Classification (HP)
|
100% |
486
649.0 IPS |
|
|
Text Classification (Q)
|
97% |
410
549.4 IPS |
|
|
Machine Translation (SP)
|
100% |
698
12.0 IPS |
|
|
Machine Translation (HP)
|
100% |
678
11.7 IPS |
|
|
Machine Translation (Q)
|
70% |
372
6.97 IPS |
