ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA
Geekbench AI Score
3033
Single Precision Score
1169
Half Precision Score
5330
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | souperman |
| Upload Date | December 06 2024 05:08 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core Ultra 7 155H |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Enterprise (64-bit) |
| Model | ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA |
| Motherboard | ASUSTeK COMPUTER INC. S5506MA |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 7 155H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.80 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2493
463.6 IPS |
|
|
Image Classification (HP)
|
100% |
473
88.0 IPS |
|
|
Image Classification (Q)
|
99% |
4942
921.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1243
20.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
841
13.6 IPS |
|
|
Image Segmentation (Q)
|
98% |
3014
49.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
5182
6.05 IPS |
|
|
Pose Estimation (HP)
|
100% |
2592
3.02 IPS |
|
|
Pose Estimation (Q)
|
94% |
16302
19.1 IPS |
|
|
Object Detection (SP)
|
100% |
1999
158.6 IPS |
|
|
Object Detection (HP)
|
100% |
473
37.6 IPS |
|
|
Object Detection (Q)
|
86% |
4712
378.7 IPS |
|
|
Face Detection (SP)
|
100% |
6003
71.3 IPS |
|
|
Face Detection (HP)
|
100% |
1263
15.0 IPS |
|
|
Face Detection (Q)
|
97% |
7241
86.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6407
49.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
1579
12.2 IPS |
|
|
Depth Estimation (Q)
|
78% |
11843
94.5 IPS |
|
|
Style Transfer (SP)
|
100% |
11712
15.1 IPS |
|
|
Style Transfer (HP)
|
100% |
7788
10.0 IPS |
|
|
Style Transfer (Q)
|
98% |
17448
22.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2151
79.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1600
59.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3277
121.4 IPS |
|
|
Text Classification (SP)
|
100% |
1299
1.73 KIPS |
|
|
Text Classification (HP)
|
100% |
628
838.7 IPS |
|
|
Text Classification (Q)
|
97% |
1412
1.89 KIPS |
|
|
Machine Translation (SP)
|
100% |
1634
28.1 IPS |
|
|
Machine Translation (HP)
|
100% |
630
10.8 IPS |
|
|
Machine Translation (Q)
|
65% |
2336
46.9 IPS |
