ADVAN 1406
Geekbench AI Score
2926
Single Precision Score
1291
Half Precision Score
5795
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fadaf |
| Upload Date | December 18 2025 12:11 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 5 125H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ADVAN 1406 |
| Motherboard | SU MTN39C-140M-PY |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2176
404.7 IPS |
|
|
Image Classification (HP)
|
100% |
503
93.6 IPS |
|
|
Image Classification (Q)
|
99% |
4885
911.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1211
19.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
874
14.2 IPS |
|
|
Image Segmentation (Q)
|
98% |
6468
105.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
4535
5.29 IPS |
|
|
Pose Estimation (HP)
|
100% |
3473
4.05 IPS |
|
|
Pose Estimation (Q)
|
94% |
17211
20.2 IPS |
|
|
Object Detection (SP)
|
100% |
2145
170.2 IPS |
|
|
Object Detection (HP)
|
100% |
616
48.9 IPS |
|
|
Object Detection (Q)
|
86% |
4602
369.8 IPS |
|
|
Face Detection (SP)
|
100% |
5975
71.0 IPS |
|
|
Face Detection (HP)
|
100% |
1407
16.7 IPS |
|
|
Face Detection (Q)
|
97% |
7662
91.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6049
46.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
1962
15.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
11674
93.2 IPS |
|
|
Style Transfer (SP)
|
100% |
11031
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
8425
10.8 IPS |
|
|
Style Transfer (Q)
|
98% |
17017
21.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2073
76.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1524
56.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3893
144.1 IPS |
|
|
Text Classification (SP)
|
100% |
1322
1.76 KIPS |
|
|
Text Classification (HP)
|
100% |
495
660.8 IPS |
|
|
Text Classification (Q)
|
97% |
1301
1.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1644
28.3 IPS |
|
|
Machine Translation (HP)
|
100% |
783
13.5 IPS |
|
|
Machine Translation (Q)
|
65% |
2214
44.5 IPS |
