ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X515JP_X515JP
Geekbench AI Score
1187
Single Precision Score
620
Half Precision Score
2622
Quantized Score
Geekbench AI 1.7.0 for Windows AVX2
Result Information
| User | BMZahrani |
| Upload Date | April 16 2026 03:55 PM |
| Views | 8 |
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% |
896
166.6 IPS |
|
|
Image Classification (HP)
|
100% |
260
48.4 IPS |
|
|
Image Classification (Q)
|
99% |
2144
399.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
593
9.61 IPS |
|
|
Image Segmentation (HP)
|
100% |
377
6.11 IPS |
|
|
Image Segmentation (Q)
|
98% |
2498
40.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
1556
1.82 IPS |
|
|
Pose Estimation (HP)
|
100% |
1273
1.49 IPS |
|
|
Pose Estimation (Q)
|
94% |
5419
6.35 IPS |
|
|
Object Detection (SP)
|
100% |
759
60.2 IPS |
|
|
Object Detection (HP)
|
100% |
317
25.2 IPS |
|
|
Object Detection (Q)
|
86% |
2154
173.1 IPS |
|
|
Face Detection (SP)
|
100% |
1769
21.0 IPS |
|
|
Face Detection (HP)
|
100% |
673
7.99 IPS |
|
|
Face Detection (Q)
|
97% |
3578
42.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
2044
15.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
872
6.72 IPS |
|
|
Depth Estimation (Q)
|
78% |
5288
42.2 IPS |
|
|
Style Transfer (SP)
|
100% |
3860
4.96 IPS |
|
|
Style Transfer (HP)
|
100% |
3028
3.89 IPS |
|
|
Style Transfer (Q)
|
98% |
7773
10.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
758
28.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
666
24.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
2202
81.5 IPS |
|
|
Text Classification (SP)
|
100% |
772
1.03 KIPS |
|
|
Text Classification (HP)
|
100% |
422
563.9 IPS |
|
|
Text Classification (Q)
|
97% |
825
1.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
1085
18.7 IPS |
|
|
Machine Translation (HP)
|
100% |
427
7.36 IPS |
|
|
Machine Translation (Q)
|
65% |
920
18.5 IPS |
