ASUSTeK COMPUTER INC. ASUS EXPERTBOOK B3404CMA_B3404CMA
Geekbench AI Score
2657
Single Precision Score
2630
Half Precision Score
6408
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | June 16 2025 08:36 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | Intel(R) Core(TM) Ultra 7 155U |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS EXPERTBOOK B3404CMA_B3404CMA |
| Motherboard | ASUSTeK COMPUTER INC. B3404CMA |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155U |
| Topology | 1 Processor, 12 Cores |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 1.70 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1347
250.6 IPS |
|
|
Image Classification (HP)
|
100% |
1345
250.1 IPS |
|
|
Image Classification (Q)
|
100% |
4228
786.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
2051
33.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2044
33.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
4244
68.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
3686
4.30 IPS |
|
|
Pose Estimation (HP)
|
100% |
3357
3.92 IPS |
|
|
Pose Estimation (Q)
|
96% |
11918
14.0 IPS |
|
|
Object Detection (SP)
|
100% |
1383
109.7 IPS |
|
|
Object Detection (HP)
|
100% |
1401
111.1 IPS |
|
|
Object Detection (Q)
|
88% |
4112
329.6 IPS |
|
|
Face Detection (SP)
|
100% |
3921
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
3909
46.4 IPS |
|
|
Face Detection (Q)
|
100% |
8878
105.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
4199
32.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
4197
32.3 IPS |
|
|
Depth Estimation (Q)
|
89% |
10354
80.5 IPS |
|
|
Style Transfer (SP)
|
100% |
10558
13.6 IPS |
|
|
Style Transfer (HP)
|
100% |
10596
13.6 IPS |
|
|
Style Transfer (Q)
|
98% |
34669
44.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1938
71.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1859
68.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6521
241.5 IPS |
|
|
Text Classification (SP)
|
100% |
1599
2.13 KIPS |
|
|
Text Classification (HP)
|
100% |
1626
2.17 KIPS |
|
|
Text Classification (Q)
|
92% |
2801
3.76 KIPS |
|
|
Machine Translation (SP)
|
100% |
2314
39.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2336
40.2 IPS |
|
|
Machine Translation (Q)
|
100% |
2283
39.3 IPS |
