ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X515JP_X515JP
Geekbench AI Score
930
Single Precision Score
487
Half Precision Score
2259
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | BMZahrani |
| Upload Date | April 16 2026 04:27 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i7-1065G7 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X515JP_X515JP |
| Motherboard | ASUSTeK COMPUTER INC. X515JP |
| Power Plan | ASUS Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i7-1065G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 126 Stepping 5 |
| Base Frequency | 1.50 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
684
127.1 IPS |
|
|
Image Classification (HP)
|
100% |
217
40.3 IPS |
|
|
Image Classification (Q)
|
99% |
1913
356.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
450
7.30 IPS |
|
|
Image Segmentation (HP)
|
100% |
293
4.75 IPS |
|
|
Image Segmentation (Q)
|
98% |
1952
31.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
1146
1.34 IPS |
|
|
Pose Estimation (HP)
|
100% |
966
1.13 IPS |
|
|
Pose Estimation (Q)
|
94% |
4426
5.19 IPS |
|
|
Object Detection (SP)
|
100% |
621
49.3 IPS |
|
|
Object Detection (HP)
|
100% |
233
18.5 IPS |
|
|
Object Detection (Q)
|
86% |
1699
136.5 IPS |
|
|
Face Detection (SP)
|
100% |
1556
18.5 IPS |
|
|
Face Detection (HP)
|
100% |
538
6.39 IPS |
|
|
Face Detection (Q)
|
97% |
3019
36.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
1590
12.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
701
5.40 IPS |
|
|
Depth Estimation (Q)
|
78% |
4190
33.4 IPS |
|
|
Style Transfer (SP)
|
100% |
2992
3.85 IPS |
|
|
Style Transfer (HP)
|
100% |
2418
3.11 IPS |
|
|
Style Transfer (Q)
|
98% |
6526
8.42 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
590
21.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
499
18.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
1777
65.8 IPS |
|
|
Text Classification (SP)
|
100% |
600
801.1 IPS |
|
|
Text Classification (HP)
|
100% |
334
445.9 IPS |
|
|
Text Classification (Q)
|
97% |
660
883.9 IPS |
|
|
Machine Translation (SP)
|
100% |
851
14.7 IPS |
|
|
Machine Translation (HP)
|
100% |
348
6.00 IPS |
|
|
Machine Translation (Q)
|
65% |
1278
25.7 IPS |
