Default string Default string
Geekbench AI Score
2988
Single Precision Score
8171
Half Precision Score
12917
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | December 09 2025 12:52 PM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | NPU |
| Device | Intel(R) AI Boost |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string PCOM-B65A-ARL |
| Power Plan | High performance |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1597
297.1 IPS |
|
|
Image Classification (HP)
|
100% |
6085
1.13 KIPS |
|
|
Image Classification (Q)
|
100% |
8909
1.66 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2444
39.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2396
38.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2906
47.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
4331
5.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
28701
33.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
61649
72.2 IPS |
|
|
Object Detection (SP)
|
100% |
1512
119.9 IPS |
|
|
Object Detection (HP)
|
100% |
4800
380.7 IPS |
|
|
Object Detection (Q)
|
88% |
8625
691.4 IPS |
|
|
Face Detection (SP)
|
100% |
4139
49.2 IPS |
|
|
Face Detection (HP)
|
100% |
14003
166.4 IPS |
|
|
Face Detection (Q)
|
100% |
26782
318.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
4836
37.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
12572
96.9 IPS |
|
|
Depth Estimation (Q)
|
88% |
24326
189.3 IPS |
|
|
Style Transfer (SP)
|
100% |
12393
15.9 IPS |
|
|
Style Transfer (HP)
|
100% |
37898
48.7 IPS |
|
|
Style Transfer (Q)
|
98% |
71869
92.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2369
87.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14126
521.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27175
1.01 KIPS |
|
|
Text Classification (SP)
|
100% |
1839
2.45 KIPS |
|
|
Text Classification (HP)
|
100% |
1829
2.44 KIPS |
|
|
Text Classification (Q)
|
92% |
1870
2.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2057
35.4 IPS |
|
|
Machine Translation (HP)
|
100% |
3832
66.0 IPS |
|
|
Machine Translation (Q)
|
100% |
3949
68.0 IPS |
