ASUSTeK COMPUTER INC. ASUS Vivobook S 15 S5506MA_S5506MA
Geekbench AI Score
8275
Single Precision Score
12333
Half Precision Score
17641
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | UvarovAndrey |
| Upload Date | January 14 2025 09:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | GPU |
| Device | Intel(R) Arc(TM) Graphics (iGPU) |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (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 5 125H |
| Topology | 1 Processor, 14 Cores, 18 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 3.60 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 10 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5650
1.05 KIPS |
|
|
Image Classification (HP)
|
100% |
7327
1.36 KIPS |
|
|
Image Classification (Q)
|
100% |
8426
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
5064
82.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11620
188.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
15458
250.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
21558
25.2 IPS |
|
|
Pose Estimation (HP)
|
99% |
19174
22.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
65658
76.9 IPS |
|
|
Object Detection (SP)
|
100% |
5410
429.1 IPS |
|
|
Object Detection (HP)
|
100% |
8121
644.1 IPS |
|
|
Object Detection (Q)
|
88% |
11145
893.1 IPS |
|
|
Face Detection (SP)
|
100% |
10716
127.3 IPS |
|
|
Face Detection (HP)
|
100% |
20847
247.7 IPS |
|
|
Face Detection (Q)
|
100% |
31533
374.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
19836
152.8 IPS |
|
|
Depth Estimation (HP)
|
98% |
34182
264.2 IPS |
|
|
Depth Estimation (Q)
|
89% |
37724
293.2 IPS |
|
|
Style Transfer (SP)
|
100% |
54116
69.6 IPS |
|
|
Style Transfer (HP)
|
100% |
69361
89.2 IPS |
|
|
Style Transfer (Q)
|
98% |
153073
197.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
9311
343.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15483
571.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21270
787.7 IPS |
|
|
Text Classification (SP)
|
71% |
1646
2.38 KIPS |
|
|
Text Classification (HP)
|
71% |
2555
3.70 KIPS |
|
|
Text Classification (Q)
|
92% |
2560
3.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
2562
44.1 IPS |
|
|
Machine Translation (HP)
|
96% |
3143
54.4 IPS |
|
|
Machine Translation (Q)
|
100% |
3089
53.2 IPS |
