INTEL Default string
Geekbench AI Score
1033
Single Precision Score
1664
Half Precision Score
2417
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | November 13 2025 07:31 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) UHD Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | INTEL Default string |
| Motherboard | Intel NUC32D 2C |
| Power Plan | Dengeli |
| CPU Information | |
|---|---|
| Name | Intel N100 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 800 MHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
655
121.9 IPS |
|
|
Image Classification (HP)
|
100% |
1096
203.8 IPS |
|
|
Image Classification (Q)
|
99% |
1515
282.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
861
14.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
1655
26.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
1870
30.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1590
1.85 IPS |
|
|
Pose Estimation (HP)
|
99% |
1346
1.57 IPS |
|
|
Pose Estimation (Q)
|
97% |
4603
5.39 IPS |
|
|
Object Detection (SP)
|
100% |
611
48.5 IPS |
|
|
Object Detection (HP)
|
99% |
1054
83.6 IPS |
|
|
Object Detection (Q)
|
90% |
1682
134.5 IPS |
|
|
Face Detection (SP)
|
100% |
1773
21.1 IPS |
|
|
Face Detection (HP)
|
100% |
3320
39.4 IPS |
|
|
Face Detection (Q)
|
100% |
4123
49.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
2004
15.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
3644
28.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
4669
36.3 IPS |
|
|
Style Transfer (SP)
|
100% |
4506
5.79 IPS |
|
|
Style Transfer (HP)
|
100% |
6976
8.97 IPS |
|
|
Style Transfer (Q)
|
98% |
11427
14.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
795
29.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1380
50.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2410
89.2 IPS |
|
|
Text Classification (SP)
|
71% |
462
668.6 IPS |
|
|
Text Classification (HP)
|
71% |
566
819.2 IPS |
|
|
Text Classification (Q)
|
92% |
610
819.4 IPS |
|
|
Machine Translation (SP)
|
100% |
433
7.46 IPS |
|
|
Machine Translation (HP)
|
98% |
961
16.6 IPS |
|
|
Machine Translation (Q)
|
100% |
963
16.6 IPS |
