ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X513EAN_S513EA
Geekbench AI Score
1551
Single Precision Score
852
Half Precision Score
3355
Quantized Score
Geekbench AI 1.2.0 for Windows AVX2
Result Information
| User | Franck66 |
| Upload Date | March 07 2025 03:32 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1165G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Famille (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X513EAN_S513EA |
| Motherboard | ASUSTeK COMPUTER INC. X513EAN |
| Power Plan | ASUS Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1165G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 2.80 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1010
187.8 IPS |
|
|
Image Classification (HP)
|
100% |
303
56.4 IPS |
|
|
Image Classification (Q)
|
99% |
2787
519.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
594
9.64 IPS |
|
|
Image Segmentation (HP)
|
100% |
457
7.41 IPS |
|
|
Image Segmentation (Q)
|
98% |
1743
28.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
2265
2.64 IPS |
|
|
Pose Estimation (HP)
|
100% |
1885
2.20 IPS |
|
|
Pose Estimation (Q)
|
94% |
7668
8.99 IPS |
|
|
Object Detection (SP)
|
100% |
1054
83.6 IPS |
|
|
Object Detection (HP)
|
100% |
440
34.9 IPS |
|
|
Object Detection (Q)
|
86% |
3122
250.9 IPS |
|
|
Face Detection (SP)
|
100% |
2144
25.5 IPS |
|
|
Face Detection (HP)
|
100% |
917
10.9 IPS |
|
|
Face Detection (Q)
|
97% |
5003
59.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
3271
25.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
1311
10.1 IPS |
|
|
Depth Estimation (Q)
|
78% |
7367
58.8 IPS |
|
|
Style Transfer (SP)
|
100% |
5718
7.35 IPS |
|
|
Style Transfer (HP)
|
100% |
4733
6.08 IPS |
|
|
Style Transfer (Q)
|
98% |
9343
12.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1152
42.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1025
37.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2339
86.6 IPS |
|
|
Text Classification (SP)
|
100% |
1053
1.41 KIPS |
|
|
Text Classification (HP)
|
100% |
642
857.1 IPS |
|
|
Text Classification (Q)
|
97% |
1257
1.68 KIPS |
|
|
Machine Translation (SP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
469
8.08 IPS |
|
|
Machine Translation (Q)
|
65% |
1536
30.9 IPS |
