ASUSTeK COMPUTER INC. ASUS EXPERTBOOK BM1503CDA
Geekbench AI Score
2563
Single Precision Score
1114
Half Precision Score
3766
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 02:27 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | AMD Ryzen 7 7735U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS EXPERTBOOK BM1503CDA |
| Motherboard | ASUSTeK COMPUTER INC. BM1503CDA |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 7 7735U |
| Topology | 1 Processor, 8 Cores, 16 Threads |
| Identifier | AuthenticAMD Family 25 Model 68 Stepping 1 |
| Base Frequency | 2.70 GHz |
| Cluster 1 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2337
434.7 IPS |
|
|
Image Classification (HP)
|
100% |
509
94.6 IPS |
|
|
Image Classification (Q)
|
96% |
3784
706.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
598
9.69 IPS |
|
|
Image Segmentation (HP)
|
100% |
404
6.55 IPS |
|
|
Image Segmentation (Q)
|
97% |
2196
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
4757
5.55 IPS |
|
|
Pose Estimation (HP)
|
100% |
3700
4.32 IPS |
|
|
Pose Estimation (Q)
|
86% |
8962
10.6 IPS |
|
|
Object Detection (SP)
|
100% |
2125
168.6 IPS |
|
|
Object Detection (HP)
|
100% |
581
46.1 IPS |
|
|
Object Detection (Q)
|
58% |
2387
260.8 IPS |
|
|
Face Detection (SP)
|
100% |
4115
48.9 IPS |
|
|
Face Detection (HP)
|
100% |
1097
13.0 IPS |
|
|
Face Detection (Q)
|
96% |
6115
72.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5750
44.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
1643
12.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
7452
59.5 IPS |
|
|
Style Transfer (SP)
|
100% |
9329
12.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7268
9.34 IPS |
|
|
Style Transfer (Q)
|
87% |
12583
16.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1637
60.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1396
51.5 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1881
69.7 IPS |
|
|
Text Classification (SP)
|
100% |
1193
1.59 KIPS |
|
|
Text Classification (HP)
|
100% |
635
847.3 IPS |
|
|
Text Classification (Q)
|
97% |
1309
1.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
2012
34.7 IPS |
|
|
Machine Translation (HP)
|
100% |
574
9.89 IPS |
|
|
Machine Translation (Q)
|
68% |
2290
44.2 IPS |
