ASUSTeK COMPUTER INC. ASUS EXPERTBOOK BR1204FTA
Geekbench AI Score
760
Single Precision Score
392
Half Precision Score
1400
Quantized Score
Geekbench AI 1.6.0 for Windows AVX2
Result Information
| Upload Date | January 23 2026 07:15 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| 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% |
608
113.0 IPS |
|
|
Image Classification (HP)
|
100% |
191
35.5 IPS |
|
|
Image Classification (Q)
|
99% |
1033
192.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
422
6.84 IPS |
|
|
Image Segmentation (HP)
|
100% |
304
4.94 IPS |
|
|
Image Segmentation (Q)
|
98% |
1312
21.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
1123
1.31 IPS |
|
|
Pose Estimation (HP)
|
100% |
869
1.01 IPS |
|
|
Pose Estimation (Q)
|
94% |
2381
2.79 IPS |
|
|
Object Detection (SP)
|
100% |
567
45.0 IPS |
|
|
Object Detection (HP)
|
100% |
247
19.6 IPS |
|
|
Object Detection (Q)
|
86% |
963
77.4 IPS |
|
|
Face Detection (SP)
|
100% |
1475
17.5 IPS |
|
|
Face Detection (HP)
|
100% |
511
6.07 IPS |
|
|
Face Detection (Q)
|
97% |
2136
25.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
1255
9.67 IPS |
|
|
Depth Estimation (HP)
|
99% |
477
3.68 IPS |
|
|
Depth Estimation (Q)
|
78% |
2225
17.8 IPS |
|
|
Style Transfer (SP)
|
100% |
1604
2.06 IPS |
|
|
Style Transfer (HP)
|
100% |
1280
1.64 IPS |
|
|
Style Transfer (Q)
|
98% |
3567
4.60 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
427
15.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
300
11.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1036
38.3 IPS |
|
|
Text Classification (SP)
|
100% |
527
703.6 IPS |
|
|
Text Classification (HP)
|
100% |
314
418.8 IPS |
|
|
Text Classification (Q)
|
97% |
624
836.3 IPS |
|
|
Machine Translation (SP)
|
100% |
596
10.3 IPS |
|
|
Machine Translation (HP)
|
100% |
236
4.07 IPS |
|
|
Machine Translation (Q)
|
65% |
853
17.1 IPS |
