ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X515EA_X515EA
Geekbench AI Score
1504
Single Precision Score
1506
Half Precision Score
4302
Quantized Score
Geekbench AI 1.4.0 for Windows AVX2
Result Information
| User | goingshmooth |
| Upload Date | September 11 2025 03:21 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i3-1115G4 @ 3.00GHz |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X515EA_X515EA |
| Motherboard | ASUSTeK COMPUTER INC. X515EA |
| Power Plan | ASUS Recommended |
| CPU Information | |
|---|---|
| Name | Intel Core i3-1115G4 |
| Topology | 1 Processor, 2 Cores, 4 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 3.00 GHz |
| Cluster 1 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
937
174.3 IPS |
|
|
Image Classification (HP)
|
100% |
943
175.4 IPS |
|
|
Image Classification (Q)
|
100% |
2910
541.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
966
15.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
983
15.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
2584
41.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
1580
1.84 IPS |
|
|
Pose Estimation (HP)
|
100% |
1570
1.83 IPS |
|
|
Pose Estimation (Q)
|
96% |
6419
7.52 IPS |
|
|
Object Detection (SP)
|
100% |
869
68.9 IPS |
|
|
Object Detection (HP)
|
100% |
889
70.5 IPS |
|
|
Object Detection (Q)
|
88% |
2845
228.1 IPS |
|
|
Face Detection (SP)
|
100% |
2101
25.0 IPS |
|
|
Face Detection (HP)
|
100% |
2112
25.1 IPS |
|
|
Face Detection (Q)
|
100% |
6697
79.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
2287
17.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
2327
17.9 IPS |
|
|
Depth Estimation (Q)
|
89% |
7223
56.2 IPS |
|
|
Style Transfer (SP)
|
100% |
4317
5.55 IPS |
|
|
Style Transfer (HP)
|
100% |
4329
5.57 IPS |
|
|
Style Transfer (Q)
|
98% |
16919
21.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
990
36.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1006
37.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3579
132.5 IPS |
|
|
Text Classification (SP)
|
100% |
1196
1.60 KIPS |
|
|
Text Classification (HP)
|
100% |
1197
1.60 KIPS |
|
|
Text Classification (Q)
|
92% |
2786
3.74 KIPS |
|
|
Machine Translation (SP)
|
100% |
1946
33.5 IPS |
|
|
Machine Translation (HP)
|
100% |
1815
31.3 IPS |
|
|
Machine Translation (Q)
|
100% |
1942
33.5 IPS |
