ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X415EA_F415EA
Geekbench AI Score
2616
Single Precision Score
2613
Half Precision Score
7251
Quantized Score
Geekbench AI 1.1.0 for Linux AVX2
Result Information
| User | Gasoile |
| Upload Date | October 15 2024 08:13 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | 11th Gen Intel(R) Core(TM) i5-1135G7 @ 2.40GHz |
| System Information | |
|---|---|
| Operating System | EndeavourOS |
| Model | ASUSTeK COMPUTER INC. VivoBook_ASUSLaptop X415EA_F415EA |
| Motherboard | ASUSTeK COMPUTER INC. X415EA |
| CPU Information | |
|---|---|
| Name | Intel Core i5-1135G7 |
| Topology | 1 Processor, 4 Cores, 8 Threads |
| Identifier | GenuineIntel Family 6 Model 140 Stepping 1 |
| Base Frequency | 4.20 GHz |
| Cluster 1 | 0 Cores |
| Memory Information | |
|---|---|
| Size | 7.46 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1783
331.6 IPS |
|
|
Image Classification (HP)
|
100% |
1774
329.9 IPS |
|
|
Image Classification (Q)
|
100% |
5187
964.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1696
27.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
1693
27.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
3871
62.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
3139
3.66 IPS |
|
|
Pose Estimation (HP)
|
100% |
2819
3.29 IPS |
|
|
Pose Estimation (Q)
|
96% |
10849
12.7 IPS |
|
|
Object Detection (SP)
|
100% |
1462
116.0 IPS |
|
|
Object Detection (HP)
|
100% |
1515
120.1 IPS |
|
|
Object Detection (Q)
|
88% |
4722
378.5 IPS |
|
|
Face Detection (SP)
|
100% |
3301
39.2 IPS |
|
|
Face Detection (HP)
|
100% |
3309
39.3 IPS |
|
|
Face Detection (Q)
|
100% |
11744
139.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
3994
30.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
4092
31.5 IPS |
|
|
Depth Estimation (Q)
|
89% |
12892
100.2 IPS |
|
|
Style Transfer (SP)
|
100% |
7804
10.0 IPS |
|
|
Style Transfer (HP)
|
100% |
7877
10.1 IPS |
|
|
Style Transfer (Q)
|
98% |
30712
39.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1744
64.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1782
65.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
6631
245.6 IPS |
|
|
Text Classification (SP)
|
100% |
2021
2.70 KIPS |
|
|
Text Classification (HP)
|
100% |
2026
2.70 KIPS |
|
|
Text Classification (Q)
|
92% |
4263
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
2989
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
3005
51.8 IPS |
|
|
Machine Translation (Q)
|
100% |
2975
51.2 IPS |
