ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K5504VA_K5504VA
Geekbench AI Score
2693
Single Precision Score
1175
Half Precision Score
4051
Quantized Score
Geekbench AI 1.1.0 for Windows AVX2
Result Information
| User | SDAOnliner |
| Upload Date | October 16 2024 08:00 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-13700H |
| System Information | |
|---|---|
| Operating System | Windows 11 (64-bit) |
| Model | ASUSTeK COMPUTER INC. Vivobook_ASUSLaptop K5504VA_K5504VA |
| Motherboard | ASUSTeK COMPUTER INC. K5504VA |
| CPU Information | |
|---|---|
| Name | Intel Core i7-13700H |
| Topology | 1 Processor, 14 Cores, 20 Threads |
| Identifier | GenuineIntel Family 6 Model 186 Stepping 2 |
| Base Frequency | 2.40 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1600
297.5 IPS |
|
|
Image Classification (HP)
|
100% |
424
78.9 IPS |
|
|
Image Classification (Q)
|
99% |
3073
573.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1472
23.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
831
13.5 IPS |
|
|
Image Segmentation (Q)
|
98% |
2748
44.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
5240
6.11 IPS |
|
|
Pose Estimation (HP)
|
100% |
3362
3.92 IPS |
|
|
Pose Estimation (Q)
|
95% |
16896
19.8 IPS |
|
|
Object Detection (SP)
|
100% |
1686
133.7 IPS |
|
|
Object Detection (HP)
|
100% |
522
41.4 IPS |
|
|
Object Detection (Q)
|
88% |
1674
134.2 IPS |
|
|
Face Detection (SP)
|
100% |
2872
34.1 IPS |
|
|
Face Detection (HP)
|
100% |
1225
14.6 IPS |
|
|
Face Detection (Q)
|
97% |
3578
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5825
44.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
1629
12.5 IPS |
|
|
Depth Estimation (Q)
|
77% |
7134
57.1 IPS |
|
|
Style Transfer (SP)
|
100% |
12169
15.6 IPS |
|
|
Style Transfer (HP)
|
100% |
8303
10.7 IPS |
|
|
Style Transfer (Q)
|
98% |
17536
22.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2273
83.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1596
58.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3587
132.8 IPS |
|
|
Text Classification (SP)
|
100% |
1424
1.90 KIPS |
|
|
Text Classification (HP)
|
100% |
571
762.1 IPS |
|
|
Text Classification (Q)
|
97% |
1467
1.96 KIPS |
|
|
Machine Translation (SP)
|
100% |
1467
25.3 IPS |
|
|
Machine Translation (HP)
|
100% |
539
9.28 IPS |
|
|
Machine Translation (Q)
|
60% |
2118
47.2 IPS |
