ADVAN 1406
Geekbench AI Score
4333
Single Precision Score
6840
Half Precision Score
3163
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fadaf |
| Upload Date | December 18 2025 12:14 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | Intel(R) Arc(TM) Graphics |
| 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% |
2130
396.1 IPS |
|
|
Image Classification (HP)
|
100% |
3964
737.2 IPS |
|
|
Image Classification (Q)
|
100% |
1852
344.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2937
47.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
6484
105.1 IPS |
|
|
Image Segmentation (Q)
|
98% |
2383
38.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12744
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
16929
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
11173
13.1 IPS |
|
|
Object Detection (SP)
|
100% |
2244
178.0 IPS |
|
|
Object Detection (HP)
|
99% |
4715
375.1 IPS |
|
|
Object Detection (Q)
|
86% |
1849
148.7 IPS |
|
|
Face Detection (SP)
|
100% |
4170
49.6 IPS |
|
|
Face Detection (HP)
|
100% |
7973
94.7 IPS |
|
|
Face Detection (Q)
|
97% |
3256
38.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8651
66.6 IPS |
|
|
Depth Estimation (HP)
|
98% |
17310
133.8 IPS |
|
|
Depth Estimation (Q)
|
76% |
6811
54.7 IPS |
|
|
Style Transfer (SP)
|
100% |
38114
49.0 IPS |
|
|
Style Transfer (HP)
|
100% |
54883
70.6 IPS |
|
|
Style Transfer (Q)
|
98% |
28623
36.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6157
227.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
10299
380.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3441
127.4 IPS |
|
|
Text Classification (SP)
|
86% |
766
1.04 KIPS |
|
|
Text Classification (HP)
|
99% |
668
891.3 IPS |
|
|
Text Classification (Q)
|
84% |
549
744.9 IPS |
|
|
Machine Translation (SP)
|
100% |
2015
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2098
36.1 IPS |
|
|
Machine Translation (Q)
|
70% |
917
17.2 IPS |
