ASUSTeK COMPUTER INC. ASUS EXPERTBOOK B1503CTA
Geekbench AI Score
2009
Single Precision Score
2846
Half Precision Score
4268
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 28 2025 07:56 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS EXPERTBOOK B1503CTA |
| Motherboard | ASUSTeK COMPUTER INC. B1503CTA |
| CPU Information | |
|---|---|
| Name | Intel(R) Core(TM) 3 N355 |
| Topology | 1 Processor, 8 Cores |
| Identifier | GenuineIntel Family 6 Model 190 Stepping 0 |
| Base Frequency | 1.90 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1199
223.0 IPS |
|
|
Image Classification (HP)
|
100% |
1744
324.2 IPS |
|
|
Image Classification (Q)
|
99% |
2470
460.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1838
29.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
3119
50.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
3649
59.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
3619
4.22 IPS |
|
|
Pose Estimation (HP)
|
99% |
2650
3.09 IPS |
|
|
Pose Estimation (Q)
|
97% |
10891
12.8 IPS |
|
|
Object Detection (SP)
|
100% |
1134
89.9 IPS |
|
|
Object Detection (HP)
|
98% |
1711
136.2 IPS |
|
|
Object Detection (Q)
|
90% |
2669
213.4 IPS |
|
|
Face Detection (SP)
|
100% |
3392
40.3 IPS |
|
|
Face Detection (HP)
|
100% |
5732
68.1 IPS |
|
|
Face Detection (Q)
|
100% |
7735
91.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
4127
31.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
6731
52.0 IPS |
|
|
Depth Estimation (Q)
|
89% |
8980
69.8 IPS |
|
|
Style Transfer (SP)
|
100% |
9235
11.9 IPS |
|
|
Style Transfer (HP)
|
100% |
14580
18.7 IPS |
|
|
Style Transfer (Q)
|
98% |
24748
31.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1628
60.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
2593
95.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4895
181.3 IPS |
|
|
Text Classification (SP)
|
71% |
785
1.13 KIPS |
|
|
Text Classification (HP)
|
71% |
913
1.32 KIPS |
|
|
Text Classification (Q)
|
92% |
864
1.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
719
12.4 IPS |
|
|
Machine Translation (HP)
|
98% |
1063
18.4 IPS |
|
|
Machine Translation (Q)
|
100% |
1055
18.2 IPS |
