Default string Default string
Geekbench AI Score
583
Single Precision Score
593
Half Precision Score
1086
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | roberotto |
| Upload Date | October 11 2025 04:19 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) N100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | Default string Default string |
| Motherboard | Default string Default string |
| Power Plan | Equilibrado |
| 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 | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
264
49.0 IPS |
|
|
Image Classification (HP)
|
100% |
282
52.5 IPS |
|
|
Image Classification (Q)
|
100% |
584
108.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
454
7.36 IPS |
|
|
Image Segmentation (HP)
|
100% |
463
7.50 IPS |
|
|
Image Segmentation (Q)
|
99% |
729
11.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
857
1.00 IPS |
|
|
Pose Estimation (HP)
|
100% |
862
1.01 IPS |
|
|
Pose Estimation (Q)
|
96% |
1888
2.21 IPS |
|
|
Object Detection (SP)
|
100% |
273
21.7 IPS |
|
|
Object Detection (HP)
|
100% |
273
21.6 IPS |
|
|
Object Detection (Q)
|
88% |
706
56.6 IPS |
|
|
Face Detection (SP)
|
100% |
957
11.4 IPS |
|
|
Face Detection (HP)
|
100% |
943
11.2 IPS |
|
|
Face Detection (Q)
|
100% |
1588
18.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
816
6.29 IPS |
|
|
Depth Estimation (HP)
|
99% |
832
6.41 IPS |
|
|
Depth Estimation (Q)
|
89% |
1419
11.0 IPS |
|
|
Style Transfer (SP)
|
100% |
2456
3.16 IPS |
|
|
Style Transfer (HP)
|
100% |
2529
3.25 IPS |
|
|
Style Transfer (Q)
|
98% |
5633
7.26 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
390
14.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
382
14.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
797
29.5 IPS |
|
|
Text Classification (SP)
|
100% |
345
461.0 IPS |
|
|
Text Classification (HP)
|
100% |
361
482.0 IPS |
|
|
Text Classification (Q)
|
92% |
636
854.5 IPS |
|
|
Machine Translation (SP)
|
100% |
632
10.9 IPS |
|
|
Machine Translation (HP)
|
100% |
648
11.2 IPS |
|
|
Machine Translation (Q)
|
100% |
627
10.8 IPS |
