Default string Default string
Geekbench AI Score
788
Single Precision Score
434
Half Precision Score
1447
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | February 13 2026 06:12 PM |
| Views | 10 |
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 | Balanced |
| 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% |
521
96.9 IPS |
|
|
Image Classification (HP)
|
100% |
196
36.5 IPS |
|
|
Image Classification (Q)
|
99% |
1011
188.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
397
6.44 IPS |
|
|
Image Segmentation (HP)
|
100% |
260
4.21 IPS |
|
|
Image Segmentation (Q)
|
98% |
1293
21.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
997
1.16 IPS |
|
|
Pose Estimation (HP)
|
100% |
782
0.91 IPS |
|
|
Pose Estimation (Q)
|
94% |
2260
2.65 IPS |
|
|
Object Detection (SP)
|
100% |
505
40.1 IPS |
|
|
Object Detection (HP)
|
100% |
235
18.6 IPS |
|
|
Object Detection (Q)
|
86% |
1026
82.4 IPS |
|
|
Face Detection (SP)
|
100% |
1203
14.3 IPS |
|
|
Face Detection (HP)
|
100% |
514
6.11 IPS |
|
|
Face Detection (Q)
|
97% |
2149
25.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
1380
10.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
639
4.92 IPS |
|
|
Depth Estimation (Q)
|
78% |
2406
19.2 IPS |
|
|
Style Transfer (SP)
|
100% |
2545
3.27 IPS |
|
|
Style Transfer (HP)
|
100% |
1933
2.48 IPS |
|
|
Style Transfer (Q)
|
98% |
3695
4.76 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
530
19.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
407
15.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1058
39.2 IPS |
|
|
Text Classification (SP)
|
100% |
534
712.7 IPS |
|
|
Text Classification (HP)
|
100% |
315
420.1 IPS |
|
|
Text Classification (Q)
|
97% |
670
898.1 IPS |
|
|
Machine Translation (SP)
|
100% |
747
12.9 IPS |
|
|
Machine Translation (HP)
|
100% |
318
5.48 IPS |
|
|
Machine Translation (Q)
|
65% |
983
19.7 IPS |
