ASUSTeK COMPUTER INC. ASUS EXPERTBOOK BM1503CDA
Geekbench AI Score
2664
Single Precision Score
1217
Half Precision Score
3953
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | April 22 2025 02:36 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% |
2345
436.2 IPS |
|
|
Image Classification (HP)
|
100% |
504
93.7 IPS |
|
|
Image Classification (Q)
|
96% |
3996
746.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
566
9.17 IPS |
|
|
Image Segmentation (HP)
|
100% |
464
7.53 IPS |
|
|
Image Segmentation (Q)
|
97% |
2210
35.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
4777
5.57 IPS |
|
|
Pose Estimation (HP)
|
100% |
3669
4.28 IPS |
|
|
Pose Estimation (Q)
|
86% |
7624
9.01 IPS |
|
|
Object Detection (SP)
|
100% |
1845
146.3 IPS |
|
|
Object Detection (HP)
|
100% |
567
45.0 IPS |
|
|
Object Detection (Q)
|
58% |
2402
262.4 IPS |
|
|
Face Detection (SP)
|
100% |
3987
47.4 IPS |
|
|
Face Detection (HP)
|
100% |
1218
14.5 IPS |
|
|
Face Detection (Q)
|
96% |
6671
79.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6338
48.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
1914
14.7 IPS |
|
|
Depth Estimation (Q)
|
78% |
8656
69.1 IPS |
|
|
Style Transfer (SP)
|
100% |
11009
14.2 IPS |
|
|
Style Transfer (HP)
|
100% |
9157
11.8 IPS |
|
|
Style Transfer (Q)
|
87% |
13909
18.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2027
74.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1662
61.4 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
2271
84.2 IPS |
|
|
Text Classification (SP)
|
100% |
1349
1.80 KIPS |
|
|
Text Classification (HP)
|
100% |
683
912.2 IPS |
|
|
Text Classification (Q)
|
97% |
1414
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
2024
34.9 IPS |
|
|
Machine Translation (HP)
|
100% |
608
10.5 IPS |
|
|
Machine Translation (Q)
|
68% |
2237
43.2 IPS |
