Default string Default string
Geekbench AI Score
675
Single Precision Score
369
Half Precision Score
1168
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| User | roberotto |
| Upload Date | October 11 2025 03:54 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel 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% |
492
91.5 IPS |
|
|
Image Classification (HP)
|
100% |
183
34.0 IPS |
|
|
Image Classification (Q)
|
99% |
769
143.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
388
6.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
220
3.57 IPS |
|
|
Image Segmentation (Q)
|
98% |
879
14.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
863
1.01 IPS |
|
|
Pose Estimation (HP)
|
100% |
747
0.87 IPS |
|
|
Pose Estimation (Q)
|
94% |
2014
2.36 IPS |
|
|
Object Detection (SP)
|
100% |
444
35.2 IPS |
|
|
Object Detection (HP)
|
100% |
208
16.5 IPS |
|
|
Object Detection (Q)
|
86% |
925
74.3 IPS |
|
|
Face Detection (SP)
|
100% |
1187
14.1 IPS |
|
|
Face Detection (HP)
|
100% |
471
5.59 IPS |
|
|
Face Detection (Q)
|
97% |
1892
22.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1184
9.12 IPS |
|
|
Depth Estimation (HP)
|
99% |
465
3.58 IPS |
|
|
Depth Estimation (Q)
|
78% |
1805
14.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2176
2.80 IPS |
|
|
Style Transfer (HP)
|
100% |
1682
2.16 IPS |
|
|
Style Transfer (Q)
|
98% |
3405
4.39 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
451
16.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
332
12.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
846
31.3 IPS |
|
|
Text Classification (SP)
|
100% |
379
506.3 IPS |
|
|
Text Classification (HP)
|
100% |
247
329.7 IPS |
|
|
Text Classification (Q)
|
97% |
468
627.0 IPS |
|
|
Machine Translation (SP)
|
100% |
518
8.92 IPS |
|
|
Machine Translation (HP)
|
100% |
248
4.28 IPS |
|
|
Machine Translation (Q)
|
65% |
819
16.5 IPS |
