ASUS System Product Name
Geekbench AI Score
827
Single Precision Score
858
Half Precision Score
1623
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| User | hisyho |
| Upload Date | January 25 2026 10:31 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) N100 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUS System Product Name |
| Motherboard | ASUSTeK COMPUTER INC. PRIME N100I-D D4 |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
345
64.2 IPS |
|
|
Image Classification (HP)
|
100% |
456
84.8 IPS |
|
|
Image Classification (Q)
|
100% |
914
170.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
585
9.48 IPS |
|
|
Image Segmentation (HP)
|
100% |
579
9.39 IPS |
|
|
Image Segmentation (Q)
|
99% |
1078
17.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
883
1.03 IPS |
|
|
Pose Estimation (HP)
|
100% |
886
1.03 IPS |
|
|
Pose Estimation (Q)
|
96% |
2315
2.71 IPS |
|
|
Object Detection (SP)
|
100% |
469
37.2 IPS |
|
|
Object Detection (HP)
|
100% |
493
39.1 IPS |
|
|
Object Detection (Q)
|
88% |
1044
83.7 IPS |
|
|
Face Detection (SP)
|
100% |
1399
16.6 IPS |
|
|
Face Detection (HP)
|
100% |
1398
16.6 IPS |
|
|
Face Detection (Q)
|
100% |
2527
30.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1244
9.58 IPS |
|
|
Depth Estimation (HP)
|
99% |
1249
9.63 IPS |
|
|
Depth Estimation (Q)
|
89% |
2717
21.1 IPS |
|
|
Style Transfer (SP)
|
100% |
2718
3.49 IPS |
|
|
Style Transfer (HP)
|
100% |
2677
3.44 IPS |
|
|
Style Transfer (Q)
|
98% |
5361
6.91 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
577
21.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
603
22.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1334
49.4 IPS |
|
|
Text Classification (SP)
|
100% |
641
855.6 IPS |
|
|
Text Classification (HP)
|
100% |
646
861.6 IPS |
|
|
Text Classification (Q)
|
92% |
1065
1.43 KIPS |
|
|
Machine Translation (SP)
|
100% |
1030
17.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1034
17.8 IPS |
|
|
Machine Translation (Q)
|
100% |
1024
17.6 IPS |
