ASUSTeK COMPUTER INC. ASUS BR1100FKA BR1100FKA_B1100FKA
Geekbench AI Score
179
Single Precision Score
118
Half Precision Score
298
Quantized Score
Geekbench AI 1.3.0 for Windows x86 (64-bit)
Result Information
| Upload Date | April 16 2025 06:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Celeron N4500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro Education (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS BR1100FKA BR1100FKA_B1100FKA |
| Motherboard | ASUSTeK COMPUTER INC. BR1100FKA |
| CPU Information | |
|---|---|
| Name | Intel Celeron N4500 |
| Topology | 1 Processor, 2 Cores |
| Identifier | GenuineIntel Family 6 Model 156 Stepping 0 |
| Base Frequency | 1.11 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
132
24.5 IPS |
|
|
Image Classification (HP)
|
100% |
70
13.0 IPS |
|
|
Image Classification (Q)
|
96% |
239
44.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
128
2.07 IPS |
|
|
Image Segmentation (HP)
|
100% |
99
1.61 IPS |
|
|
Image Segmentation (Q)
|
97% |
256
4.16 IPS |
|
|
Pose Estimation (SP)
|
100% |
221
0.26 IPS |
|
|
Pose Estimation (HP)
|
100% |
165
0.19 IPS |
|
|
Pose Estimation (Q)
|
86% |
372
0.44 IPS |
|
|
Object Detection (SP)
|
100% |
99
7.82 IPS |
|
|
Object Detection (HP)
|
100% |
60
4.75 IPS |
|
|
Object Detection (Q)
|
58% |
139
15.2 IPS |
|
|
Face Detection (SP)
|
100% |
297
3.53 IPS |
|
|
Face Detection (HP)
|
100% |
165
1.95 IPS |
|
|
Face Detection (Q)
|
96% |
377
4.49 IPS |
|
|
Depth Estimation (SP)
|
100% |
258
1.99 IPS |
|
|
Depth Estimation (HP)
|
99% |
161
1.24 IPS |
|
|
Depth Estimation (Q)
|
78% |
421
3.35 IPS |
|
|
Style Transfer (SP)
|
100% |
487
0.63 IPS |
|
|
Style Transfer (HP)
|
100% |
403
0.52 IPS |
|
|
Style Transfer (Q)
|
87% |
799
1.04 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
109
4.01 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
85
3.15 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
212
7.87 IPS |
|
|
Text Classification (SP)
|
100% |
111
148.8 IPS |
|
|
Text Classification (HP)
|
100% |
86
114.2 IPS |
|
|
Text Classification (Q)
|
97% |
214
286.2 IPS |
|
|
Machine Translation (SP)
|
100% |
213
3.68 IPS |
|
|
Machine Translation (HP)
|
100% |
103
1.78 IPS |
|
|
Machine Translation (Q)
|
68% |
313
6.05 IPS |
