ASUSTeK COMPUTER INC. ASUS EXPERTBOOK BR1104FTA
Geekbench AI Score
1385
Single Precision Score
2127
Half Precision Score
3050
Quantized Score
Geekbench AI 1.5.0 for Windows AVX2
Result Information
| Upload Date | October 21 2025 01:09 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Education (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS EXPERTBOOK BR1104FTA |
| Motherboard | ASUSTeK COMPUTER INC. BR1104FTA |
| 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% |
864
160.8 IPS |
|
|
Image Classification (HP)
|
100% |
1360
253.0 IPS |
|
|
Image Classification (Q)
|
99% |
1882
351.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1289
20.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2271
36.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2463
39.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
2132
2.49 IPS |
|
|
Pose Estimation (HP)
|
99% |
1795
2.10 IPS |
|
|
Pose Estimation (Q)
|
97% |
6125
7.17 IPS |
|
|
Object Detection (SP)
|
100% |
799
63.4 IPS |
|
|
Object Detection (HP)
|
99% |
1323
105.0 IPS |
|
|
Object Detection (Q)
|
90% |
2060
164.7 IPS |
|
|
Face Detection (SP)
|
100% |
2633
31.3 IPS |
|
|
Face Detection (HP)
|
100% |
4557
54.1 IPS |
|
|
Face Detection (Q)
|
100% |
5403
64.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
2647
20.4 IPS |
|
|
Depth Estimation (HP)
|
98% |
4625
35.7 IPS |
|
|
Depth Estimation (Q)
|
89% |
5850
45.5 IPS |
|
|
Style Transfer (SP)
|
100% |
6019
7.74 IPS |
|
|
Style Transfer (HP)
|
100% |
8980
11.5 IPS |
|
|
Style Transfer (Q)
|
98% |
15217
19.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1055
39.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1804
66.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3076
113.9 IPS |
|
|
Text Classification (SP)
|
71% |
564
815.7 IPS |
|
|
Text Classification (HP)
|
71% |
676
978.0 IPS |
|
|
Text Classification (Q)
|
92% |
715
960.1 IPS |
|
|
Machine Translation (SP)
|
100% |
552
9.51 IPS |
|
|
Machine Translation (HP)
|
98% |
1124
19.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1129
19.5 IPS |
