ADVAN 1406
Geekbench AI Score
7607
Single Precision Score
12131
Half Precision Score
17448
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | fadaf |
| Upload Date | December 18 2025 12:23 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| 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% |
5560
1.03 KIPS |
|
|
Image Classification (HP)
|
100% |
7946
1.48 KIPS |
|
|
Image Classification (Q)
|
100% |
9187
1.71 KIPS |
|
|
Image Segmentation (SP)
|
100% |
4775
77.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11858
192.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
16448
266.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
20042
23.4 IPS |
|
|
Pose Estimation (HP)
|
99% |
17872
20.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
63505
74.3 IPS |
|
|
Object Detection (SP)
|
100% |
5176
410.6 IPS |
|
|
Object Detection (HP)
|
100% |
8065
639.7 IPS |
|
|
Object Detection (Q)
|
88% |
12321
987.4 IPS |
|
|
Face Detection (SP)
|
100% |
9218
109.5 IPS |
|
|
Face Detection (HP)
|
100% |
19069
226.6 IPS |
|
|
Face Detection (Q)
|
100% |
30569
363.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
18285
140.9 IPS |
|
|
Depth Estimation (HP)
|
98% |
31524
243.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
33916
263.6 IPS |
|
|
Style Transfer (SP)
|
100% |
47700
61.3 IPS |
|
|
Style Transfer (HP)
|
100% |
65573
84.3 IPS |
|
|
Style Transfer (Q)
|
98% |
156115
201.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
8407
310.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15204
561.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
20952
775.9 IPS |
|
|
Text Classification (SP)
|
71% |
1568
2.27 KIPS |
|
|
Text Classification (HP)
|
71% |
2246
3.25 KIPS |
|
|
Text Classification (Q)
|
92% |
2278
3.06 KIPS |
|
|
Machine Translation (SP)
|
100% |
2224
38.3 IPS |
|
|
Machine Translation (HP)
|
98% |
3776
65.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2864
49.5 IPS |
