ASUSTeK COMPUTER INC. ASUS EXPERTBOOK BR1204FTA
Geekbench AI Score
940
Single Precision Score
943
Half Precision Score
1804
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 30 2026 11:17 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) N150 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Education (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS EXPERTBOOK BR1204FTA |
| Motherboard | ASUSTeK COMPUTER INC. BR1204FTA |
| CPU Information | |
|---|---|
| Name | Intel(R) N150 |
| 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% |
537
99.9 IPS |
|
|
Image Classification (HP)
|
100% |
539
100.2 IPS |
|
|
Image Classification (Q)
|
100% |
1105
205.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
636
10.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
634
10.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
1189
19.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
987
1.15 IPS |
|
|
Pose Estimation (HP)
|
100% |
999
1.17 IPS |
|
|
Pose Estimation (Q)
|
96% |
2483
2.91 IPS |
|
|
Object Detection (SP)
|
100% |
534
42.3 IPS |
|
|
Object Detection (HP)
|
100% |
529
42.0 IPS |
|
|
Object Detection (Q)
|
88% |
1106
88.6 IPS |
|
|
Face Detection (SP)
|
100% |
1566
18.6 IPS |
|
|
Face Detection (HP)
|
100% |
1583
18.8 IPS |
|
|
Face Detection (Q)
|
100% |
2885
34.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
1403
10.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1379
10.6 IPS |
|
|
Depth Estimation (Q)
|
89% |
2959
23.0 IPS |
|
|
Style Transfer (SP)
|
100% |
3001
3.86 IPS |
|
|
Style Transfer (HP)
|
100% |
3048
3.92 IPS |
|
|
Style Transfer (Q)
|
98% |
7017
9.05 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
642
23.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
649
24.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1445
53.5 IPS |
|
|
Text Classification (SP)
|
100% |
667
890.6 IPS |
|
|
Text Classification (HP)
|
100% |
669
893.1 IPS |
|
|
Text Classification (Q)
|
92% |
1096
1.47 KIPS |
|
|
Machine Translation (SP)
|
100% |
1071
18.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1069
18.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1068
18.4 IPS |
